A review of RFI mitigation techniques in microwave radiometry

Radio frequency interference (RFI) is a well-known problem in microwave radiometry (MWR). Any undesired signal overlapping the MWR protected frequency bands introduces a bias in the measurements, which can corrupt the retrieved geophysical parameters. This paper presents a literature review of RFI detection and mitigation techniques for microwave radiometry from space. The reviewed techniques are divided between real aperture and aperture synthesis. A discussion and assessment of the application of RFI mitigation techniques is presented for each type of radiometer.Peer ReviewedPostprint (published version

Statistically Stable Estimates of Variance in Radioastronomical Observations as Tools for RFI Mitigation

A selection of statistically stable (robust) algorithms for data variance calculating has been made. Their properties have been analyzed via computer simulation. These algorithms would be useful if adopted in radio astronomy observations in the presence of strong sporadic radio frequency interference (RFI). Several observational results have been presented here to demonstrate the effectiveness of these algorithms in RFI mitigation

Development of Radio Frequency Interference Detection Algorithm for Passive Microwave Remote Sensing

Radio Frequency Interference (RFI) signals are man-made sources that are increasingly plaguing passive microwave remote sensing measurements. RFI is of insidious nature, with some signals low power enough to go undetected but large enough to impact science measurements and their results. With the launch of the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite in November 2009 and the upcoming launches of the new NASA sea-surface salinity measuring Aquarius mission in June 2011 and soil-moisture measuring Soil Moisture Active Passive (SMAP) mission around 2015, active steps are being taken to detect and mitigate RFI at L-band. An RFI detection algorithm was designed for the Aquarius mission. The algorithm performance was analyzed using kurtosis based RFI ground-truth. The algorithm has been developed with several adjustable location dependant parameters to control the detection statistics (false-alarm rate and probability of detection). The kurtosis statistical detection algorithm has been compared with the Aquarius pulse detection method. The comparative study determines the feasibility of the kurtosis detector for the SMAP radiometer, as a primary RFI detection algorithm in terms of detectability and data bandwidth. The kurtosis algorithm has superior detection capabilities for low duty-cycle radar like pulses, which are more prevalent according to analysis of field campaign data. Most RFI algorithms developed have generally been optimized for performance with individual pulsed-sinusoidal RFI sources. A new RFI detection model is developed that takes into account multiple RFI sources within an antenna footprint. The performance of the kurtosis detection algorithm under such central-limit conditions is evaluated. The SMOS mission has a unique hardware system, and conventional RFI detection techniques cannot be applied. Instead, an RFI detection algorithm for SMOS is developed and applied in the angular domain. This algorithm compares brightness temperature values at various incidence angles for a particular grid location. This algorithm is compared and contrasted with other algorithms present in the visibility domain of SMOS, as well as the spatial domain. Initial results indicate that the SMOS RFI detection algorithm in the angular domain has a higher sensitivity and lower false-alarm rate than algorithms developed in the other two domains.Ph.D.Atmospheric and Space SciencesUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/86308/1/samisra_1.pd

2000 days of SMOS at the Barcelona Expert Centre: a tribute to the work of Jordi Font

Soil Moisture and Ocean Salinity (SMOS) is the first satellite mission capable of measuring sea surface salinity and soil moisture from space. Its novel instrument (the L-band radiometer MIRAS) has required the development of new algorithms to process SMOS data, a challenging task due to many processing issues and the difficulties inherent in a new technology. In the wake of SMOS, a new community of users has grown, requesting new products and applications, and extending the interest in this novel brand of satellite services. This paper reviews the role played by the Barcelona Expert Centre under the direction of Jordi Font, SMOS co-principal investigator. The main scientific activities and achievements and the future directions are discussed, highlighting the importance of the oceanographic applications of the mission.Peer ReviewedPostprint (published version

Radio frequency interference in microwave radiometry: statistical analysis and study of techniques for detection and mitigation

Microwave radiometry field has been increasing its performance with higher accuracy measurements, leading to a more presence in the remote sensing field. Several space-borne, air-borne and ground-based radiometers have been developed to perform measurement campaigns; however, the actual sensitivity of a radiometer is often limited by man-made radio emissions such as radars, broadcasting emissions, wireless communications and many other communication systems based on electromagnetic waves, limiting the improvement in the radiometers¿ performance. Consequently, in order to maintain the accuracy in the radiometric measurements, it has been researched in the Radio Frequency Interference (RFI) detection and mitigation systems and algorithms for the microwave radiometry field. The scope of this doctoral thesis is the development and testing of RFI detection and mitigation algorithms in order to enhance radiometric measurements performed by the Multifequency Experimental Radiometer with Interference Tracking for Experiments over Land and Littoral (MERITXELL). The MERITXELL has been developed during this thesis with the idea studying the RFI present in several radiometric bands and the way to mitigate it, as well as to obtain data from diverse frequency bands and devices in only one measurement campaign

Radio frequency interference detection and mitigation techniques for navigation and Earth observation

Radio-Frequency Interference (RFI) signals are undesired signals that degrade or disrupt the performance of a wireless receiver. RFI signals can be troublesome for any receiver, but they are especially threatening for applications that use very low power signals. This is the case of applications that rely on the Global Navigation Satellite Systems (GNSS), or passive microwave remote sensing applications such as Microwave Radiometry (MWR) and GNSS-Reflectometry (GNSS-R). In order to solve the problem of RFI, RFI-countermeasures are under development. This PhD thesis is devoted to the design, implementation and test of innovative RFI-countermeasures in the fields of MWR and GNSS. In the part devoted to RFI-countermeasures for MWR applications, first, this PhD thesis completes the development of the MERITXELL instrument. The MERITXELL is a multi-frequency total-power radiometer conceived to be an outstanding platform to perform detection, characterization, and localization of RFI signals at the most common MWR imaging bands up to 92 GHz. Moreover, a novel RFI mitigation technique is proposed for MWR: the Multiresolution Fourier Transform (MFT). An assessment of the performance of the MFT has been carried out by comparison with other time-frequency mitigation techniques. According to the results, the MFT technique is a good trade-off solution among all other techniques since it can mitigate efficiently all kinds of RFI signals under evaluation. In the part devoted to RFI-countermeasures for GNSS and GNSS-R applications, first, a system for RFI detection and localization at GNSS bands is proposed. This system is able to detect RFI signals at the L1 band with a sensitivity of -108 dBm at full-band, and of -135 dBm for continuous wave and chirp-like signals when using the averaged spectrum technique. Besides, the Generalized Spectral Separation Coefficient (GSSC) is proposed as a figure of merit to evaluate the Signal-to-Noise Ratio (SNR) degradation in the Delay-Doppler Maps (DDMs) due to the external RFI effect. Furthermore, the FENIX system has been conceived as an innovative system for RFI detection and mitigation and anti-jamming for GNSS and GNSS-R applications. FENIX uses the MFT blanking as a pre-correlation excision tool to perform the mitigation. In addition, FENIX has been designed to be cross-GNSS compatible and RFI-independent. The principles of operation of the MFT blanking algorithm are assessed and compared with other techniques for GNSS signals. Its performance as a mitigation tool is proven using GNSS-R data samples from a real airborne campaign. After that, the main building blocks of the patented architecture of FENIX have been described. The FENIX architecture has been implemented in three real-time prototypes. Moreover, a simulator named FENIX-Sim allows for testing its performance under different jamming scenarios. The real-time performance of FENIX prototype has been tested using different setups. First, a customized VNA has been built in order to measure the transfer function of FENIX in the presence of several representative RFI/jamming signals. The results show how the power transfer function adapts itself to mitigate the RFI/jamming signal. Moreover, several real-time tests with GNSS receivers have been performed using GPS L1 C/A, GPS L2C, and Galileo E1OS. The results show that FENIX provides an extra resilience against RFI and jamming signals up to 30 dB. Furthermore, FENIX is tested using a real GNSS timing setup. Under nominal conditions, when no RFI/jamming signal is present, a small additional jitter on the order of 2-4 ns is introduced in the system. Besides, a maximum bias of 45 ns has been measured under strong jamming conditions (-30 dBm), which is acceptable for current timing systems requiring accuracy levels of 100 ns. Finally, the design of a backup system for GNSS in tracking applications that require high reliability against RFI and jamming attacks is proposed.Les interferències de radiofreqüència (RFI) són senyals no desitjades que degraden o interrompen el funcionament dels receptors sense fils. Les RFI poden suposar un problema per qualsevol receptor, però són especialment amenaçadores per les a aplicacions que fan servir senyals de molt baixa potència. Aquest és el cas de les aplicacions que depenen dels sistemes mundials de navegació per satèl·lit (GNSS) o de les aplicacions de teledetecció passiva de microones, com la radiometria de microones (MWR) i la reflectometria GNSS (GNSS-R). Per combatre aquest problema, sistemes anti-RFI s'estan desenvolupament actualment. Aquesta tesi doctoral està dedicada al disseny, la implementació i el test de sistemes anti-RFI innovadors en els camps de MWR i GNSS. A la part dedicada als sistemes anti-RFI en MWR, aquesta tesi doctoral completa el desenvolupament de l'instrument MERITXELL. El MERITXELL és un radiòmetre multifreqüència concebut com una plataforma excepcional per la detecció, caracterització i localització de RFI a les bandes de MWR més utilitzades per sota dels 92 GHz. A més a més, es proposa una nova tècnica de mitigació de RFI per MWR: la Transformada de Fourier amb Multiresolució (MFT). El funcionament de la MFT s'ha comparat amb el d'altres tècniques de mitigació en els dominis del temps i la freqüència. D'acord amb els resultats obtinguts, la MFT és una bona solució de compromís entre les altres tècniques, ja que pot mitigar de manera eficient tots els tipus de senyals RFI considerats. A la part dedicada als sistemes anti-RFI en GNSS i GNSS-R, primer es proposa un sistema per a la detecció i localització de RFI a les bandes GNSS. Aquest sistema és capaç de detectar senyals RFI a la banda L1 amb una sensibilitat de -108 dBm a tota la banda, i de -135 dBm per a senyals d'ona contínua i chirp fen un mitjana de l'espectre. A més a més, el Coeficient de Separació Espectral Generalitzada (GSSC) es proposa com una mesura per avaluar la degradació de la relació senyal a soroll (SNR) en els Mapes de Delay-Doppler (DDM) a causa del impacte de les RFI. La major contribució d'aquesta tesi doctoral és el sistema FENIX. FENIX és un sistema innovador de detecció i mitigació de RFI i inhibidors de freqüència per aplicacions GNSS i GNSS-R. FENIX utilitza la MFT per eliminar la interferència abans del procés de correlació amb el codi GNSS independentment del tipus de RFI. L'algoritme de mitigació de FENIX s'ha avaluat i comparat amb altres tècniques i els principals components de la seva arquitectura patentada es descriuen. Finalment, un simulador anomenat FENIX-Sim permet avaluar el seu rendiment en diferents escenaris d'interferència. El funcionament en temps real del prototip FENIX ha estat provat utilitzant diferents mètodes. En primer lloc, s'ha creat un analitzador de xarxes per a mesurar la funció de transferència del FENIX en presència de diverses RFI representatives. Els resultats mostren com la funció de transferència s'adapta per mitigar el senyal interferent. A més a més, s'han realitzat diferents proves en temps real amb receptors GNSS compatibles amb els senyals GPS L1 C/A, GPS L2C i Galileo E1OS. Els resultats mostren que FENIX proporciona una resistència addicional contra les RFI i els senyals dels inhibidors de freqüència de fins a 30 dB. A més a més, FENIX s'ha provat amb un sistema comercial de temporització basat en GNSS. En condicions nominals, sense RFI, FENIX introdueix un petit error addicional de tan sols 2-4 ns. Per contra, el biaix màxim mesurat en condicions d'alta interferència (-30 dBm) és de 45 ns, el qual és acceptable per als sistemes de temporització actuals que requereixen nivells de precisió d'uns 100 ns. Finalment, es proposa el disseny d'un sistema robust de seguiment, complementari als GNSS, per a aplicacions que requereixen alta fiabilitat contra RFI.Postprint (published version

Synthetic Observations with the Square Kilometre Array (SKA) -- development towards an end-to-end pipeline

Detection of the redshifted 21-cm signal of neutral hydrogen from the Cosmic Dawn and the Epoch of Reionization is one of the final frontiers of modern observational cosmology. The inherently faint signal makes it susceptible to contamination by several sources like astrophysical foregrounds and instrumental systematics. Nevertheless, developments achieved in the recent times will combine to make signal detection possible with the upcoming Square Kilometer Array (SKA), both statistically and via tomography. This review describes an indigenously developed end-to-end pipeline that simulates sensitive interferometric observations. It mainly focuses on the requirements for \hi detection in interferometers. In its present form, it can mimic the effects of realistic point source foregrounds and systematics- calibration error and position error on 21-cm observations. The performance of the pipeline is demonstrated for test cases with 0.01\% calibration error and position error. Its performance is consistent across telescope, foreground, and signal models. The focus of the simulation pipeline during the initial stages was for EoR science. But since this is a general interferometric simulation pipeline, it will be helpful to the entire SKA user community, irrespective of the science goals.Comment: 24 Pages, 7 Figures, Review Article to appear in Special Issue of Journal of Astrophysics and Astronomy on "Indian Participation in the SKA'', comments are welcom

Passive Microwave Remote Sensing of Snow Layers Using Novel Wideband Radiometer Systems and RFI Mitigation

Climate change can reduce the availability of water resources in many regions, and it will affect agriculture, industry, and energy supply. Snowpack monitoring is important in water resource management as well as flood and avalanche protection. The rapid melting process due to global warming changes the snowpacks' annual statistics, including the extent, and the snow water equivalent (SWE) of seasonal snowpacks, which results in non-stationary annual statistics that should be monitored in nearly daily intervals. The development of advanced radiometric sensors capable of accurately measuring the snowpack thickness and SWE is needed for the long-term study of the snowpack parameters' statistical changes. Passive microwave radiometry provides a means for measuring the microwave emission from a scene of snow and ice. A Wideband Autocorrelation Radiometer (ac{WiBAR}) operating from 1-2~GHz measures spontaneous emission from snowpack at long wavelengths where the scattering is minimized, but the snow layer coherent effects are preserved. By using a wide bandwidth to measure the spacing between frequencies of constructive and destructive interference of the emission from the soil under the snow, it can reveal the microwave travel time through the snow, and thus the snow depth. However, narrowband radio frequency interference (RFI) in the WiBAR's frequency of operations reduces the ability of the WiBAR to measure the thickness accurately. In addition, the current WiBAR system is a frequency domain, FD-WiBAR, system that uses a field-portable spectrum analyzer to collect the data and suffers from high data acquisition time which limits its applications for spaceborne and airborne technologies. In this work, a novel frequency tunable microwave comb filter is proposed for RFI mitigation. The frequency response of the proposed filter has a pattern with many frequencies band-pass and band rejection that preserves the frequency span while reducing the RFI. Moreover, we demonstrate time-domain WiBAR, TD-WiBAR, which presented as an alternative method for FD-WiBAR, and is capable of providing faster data acquisition. A new time-domain calibration is also developed for TD-WiBAR and evaluated with the frequency domain calibration. To validate the TD-WiBAR method, simulated laboratory measurements are performed using a microwave scene simulator circuit. Then the WiBAR instrument is enhanced with the proposed comb filter and showed the RFI mitigation in time-domain mode on an instrument bench test. Furthermore, we analyze the effects of an above snow vegetation layer on brightness temperature spectra, particularly the possible decay of wave coherence arising from volume scattering in the vegetation canopy. In our analysis, the snow layer is assumed to be flat, and its upward emission and surface reflectivities are modeled by a fully coherent model, while an incoherent radiative transfer model describes the volume scattering from the vegetation layer. We proposed a unified framework of vegetation scattering using radiative transfer (RT) theory for passive and active remote sensing of vegetated land surfaces, especially those associated with moderate-to-large vegetation water contents (VWCs), e.g., forest field. The framework allows for modeling passive and active microwave signatures of the vegetated field with the same physical parameters describing the vegetation structure. The proposed model is validated with the passive and active L-band sensor (PALS) acquired in SMAPVEX12 measurements in 2012, demonstrating the applicability of this model.PHDElectrical and Computer EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/169653/1/maryamsa_1.pd

Optimisation de la reconstruction d'image pour SMOS et SMOS-NEXT

Dans le cadre général de l'étude du climat, du cycle de l'eau et de la gestion des ressources en eau, le satellite SMOS (Soil Moisture and Ocean Salinity) a été lancé par l'agence spatiale européenne (ESA) en Novembre 2009 pour fournir des cartes globales d'humidité des sols et de salinité des surfaces océaniques. Les mesures du satellite sont obtenues par un radiomètre interférométrique opérant dans la bande passive 1400-1427 MHz (bande L des micro-ondes). Toutefois, dès les premières mesures de l'instrument, de nombreuses Interférences en Radio Fréquence (RFI) ont été observées, malgré les recommandations de l'Union Internationale des Télécommunications (ITU) qui protègent cette bande pour les applications scientifiques. La dégradation de données à cause des interférences est significative et au niveau international des efforts sont fait par l'ESA et les différentes agences nationales pour l'identification et l'extinction de ces émetteurs. D'un point de vue scientifique l'intérêt porte sur le développement de techniques pour la détection, la localisation au sol des sources d'interférences ainsi que pour la correction de leurs signaux dans les donnés SMOS ; différents objectifs ont donc été poursuivis et ont mené à la définition de différents approches présentées dans cette contribution. En effet la solution idéale serait de corriger l'impact de ces interférences sur les données, en créant synthétiquement des signaux égaux et de signe opposé et d'en tenir compte dans la chaîne de traitement des données. Un outil a donc été développé qui, en utilisant des connaissances a priori sur la scène observée issues des modèles météorologiques, permet de simuler la scène vue par l'instrument. A partir de cette information et des visibilités entre les antennes de l'interféromètre, il est possible de détecter et de décrire précisément ces interférences et donc d'en déduire le signal à soustraire. Bien que l'évaluation des performances d'un algorithme de correction des RFI pour SMOS ne soit pas facile puisqu'elle doit être faite indirectement, des méthodes avec ce but sont proposées et montrent des résultats généralement positifs pour l'algorithme développé. Cependant la difficulté d'évaluer l'impact de la correction à grande échelle, ainsi que pour l'incertitude qui est nécessairement introduite lors de l'application d'un signal synthétique aux données et afin d'éviter une utilisation naïve des résultats de correction, aujourd'hui on écarte l'hypothèse d'une application opérationnelle d'un algorithme de correction. Un produit intermédiaire a alors été développé, par une approche similaire, avec l'objectif de fournir des indications sur l'impact des RFI sur chaque point de chaque image selon des seuils prédéfinis. Un autre objectif a été de fournir un outil en mesure de caractériser rapidement les sources (position au sol, puissance, position dans le champ de vue) pour une zone géographique. Cette méthode utilise les composantes de Fourier de la scène vue par l'instrument pour obtenir une distribution de températures de brillance, dans laquelle les RFI apparaissent comme des points chauds. L'algorithme rapide de caractérisation des sources s'est révélé précis, fiable et robuste, et il pourrait être utilisé pour la définition de bases de données sur les RFI ou pour le suivi de celles-ci à l'échelle locale ou globale. Les résultats de cette méthode ont fournit un jeu de données privilégié pour l'étude des performances de l'instrument et ça a permit de mettre en évidence des potentielles erreurs systématiques ainsi que des variations saisonnières des résultats. Toutes mission spatiale ayant une vie limitée à quelques années, dans un deuxième temps on s'est intéressé à la continuité des mesures des mêmes variables géophysiques, avec le projet de mission SMOS-NEXT. Pour améliorer la qualité des mesures cette mission se propose d'implémenter une technique d'interférométrie novatrice : la synthèse d'ouverture spatio-temporelle, dont le principe est de corréler les mesures entre antennes en positions différentes et à des instants différents, dans les limites de cohérence liées à la bande spectrale. Suite à des études théoriques, une expérience a été faite en utilisant le radiotélescope de Nançay. Dans le cadre de la thèse les données de cette expérience ont été analysées. Bien que l'étude n'ait pas permit de conclure sur la validité du principe, plusieurs difficultés ont été mises en évidence et ce retour d'expérience sera utile lors de la prochaine campagne de mesure prévue.The Soil Moisture and Ocean Salinity (SMOS) satellite was launched by the European Space Agency (ESA) in November 2009 to allow a better understanding of Earth's climate, the water cycle and the availability of water resources at the global scale, by providing global maps of soil moisture and ocean salinity. SMOS' payload, an interferometric radiometer, measures Earth's natural radiation in the protected 1400-1427 MHz band (microwave, L-band). However, since launch the presence of numerous Radio-Frequency Interferences (RFI) has been clearly observed, despite the International Telecommunication Union (ITU) recommendations to preserve this band for scientific use. The pollution created by these artificial signals leads to a significant loss of data and a common effort of ESA and the national authorities is necessary in order to identify and switch off the emitters. From a scientific point of view we focus on the development of algorithms for the detection of RFI, their localization on the ground and the mitigation of the signals they introduce to the SMOS data. These objectives have led to different approaches that are proposed in this contribution. The ideal solution would consist in mitigating the interference signals by creating synthetic signals corresponding to the interferences and subtract them from the actual measurements. For this purpose, an algorithm was developed which makes use of a priori information on the natural scene provided by meteorological models. Accounting for this information, it is possible to retrieve an accurate description of the RFI from the visibilities between antennas, and therefore create the corresponding signal. Even though assessing the performances of a mitigation algorithm for SMOS is not straightforward as it has to be done indirectly, different methods are proposed and they all show a general improvement of the data for this particular algorithm. Nevertheless due to the complexity of assessing the performances at the global scale, and the uncertainty inevitably introduced along with the synthetic signal, and to avoid a naive use of the mitigated data by the end user, for the time being an operational implementation of mitigation algorithms is not foreseen. Instead, an intermediate solution is proposed which consists of estimating the RFI contamination for a given snapshot, and then creating a map of the regions that are contaminated to less than a certain (or several) threshold(s). Another goal has been to allow the characterization of RFI (location on the ground, power emitted, position in the field of view) within a specified geographic zone in a short time. This approach uses the Fourier components of the observed scene to evaluate the brightness temperature spatial distribution in which the RFIs are represented as "hot spots". This algorithm has proven reliable, robust and precise, so that it can be used for the creation of RFI databases and monitoring of the RFI contamination at the local and global scale. Such databases were in fact created and used to highlight systematic errors of the instrument and seasonal variation of the localization results. The second main research topic has been to investigate the principle of SMOS-NEXT, a prospective mission that aims at assuring the continuity of space-borne soil moisture and ocean salinity measurements in the future with significantly improved spatial resolution of the retrievals. In order to achieve the latter this project intends to implement a groundbreaking interferometric approach called the spatio-temporal aperture synthesis. This technique consists in correlating the signals received at antennas in different places at different times, within the coherence limits imposed by the bandwidth. To prove the feasibility of this technique, a measurement campaign was carried out at the radio-telescope in Nançay, France. Even though the analysis of the experimental data has not allowed concluding on the validity of the measurement principle, a series of difficulties have been highlighted and the thus gained knowledge constitutes a valuable base for the foreseen second measurement campaign

Construction of FASR subsystem testbed and application for solar burst trajectories and RFI study

The construction of the Frequency Agile Solar Radiotelescope (FASR) Subsystem Testbed (FST) and observational results are described. Three antennas of Owens Valley Solar Array (OVSA) have been upgraded with newly designed, state of art technology. The 1-9 GHz RF signal from the antenna feed is transmitted via broadband (45 MHz-9.5 GHz) optical fiber links to the control room. The RF is then downconverted to a 500 MHz, single-sideband signal that can be tuned across the 1-9 GHz RF band. The data are sampled with an 8-bit, 1 GHz sampling-rate digitizer, and further saved to a computer hard disk. The full-resolution time-domain data thus recorded are then correlated through offline software to provide phase and amplitude spectra. An important feature of this approach is that the data can be reanalyzed multiple times with different digital signal-processing techniques (e.g., different bit-sampling, windowing, and RFI excision methods) to test the effects of different designs. As a prototype of the FASR system, FST provides the opportunity to study the design, calibration and interference-avoidance requirements of FASR. In addition, FST provides, for the first time, the ability to perform broadband spectroscopy of the Sun with high spectral, temporal and moderate spatial resolution. With this three-element interferometer, one has the ability to determine the location of simple sources with spectrograph-like time and frequency resolution. The large solar flare of 2006 December 6 was detected by the newly constructed FASR Subsystem Testbed, which is operating on three antennas of Owens Valley Solar Array. This record-setting burst produced an especially fine set of fiber bursts--so-called intermediate-drift bursts that drift from high to low frequencies over 6-10 s. According to a leading theory (Kuijpers 1975), the fibers are generated by packets of whistler waves propagating along a magnetic loop, which coalesce with Langmuir waves to produce escaping electromagnetic radiation in the decimeter band. With this three element interferometer, for the first time fiber burst source locations can be determined relative to the background even though the absolute location is still unkown for the lack of phase calibration information. The radio information over a 500 MHz band (1.0-1.5 GHz) was used to determine the trajectories of the bursts. Since the digital data are recorded with full resolution and processed offline, a key advantage of it is that one can process the data in different ways in order to simulate and test hardware implementations. FST data provides a unique testbed for studying methods of RFI excision. RFI is observed to be present in every one of the 500 MHz bands, and the high time and frequency resolution provided by FST allows one to characterize it in great detail. The use of time-domain kurtosis, and a variant of the kurtosis method in the frequency domain were explored to identify the presence of RFI and flag bad channels in simulated real time (i.e., we play back the raw, full-resolution recorded data and flag the bad channels during play-back just as a real-time system would do). The ability to select alternate RFI excision algorithms during play-back allows one to compare algorithms on an equal basis. From the same data set, the two kurtosis (time domain and frequency domain) RFI excision algorithms were compared. The results are compared quantitatively to show that the spectral kurtosis is more effective than time domain kurtosis algorithm for detecting the RFI contamination, as expected from theoretical considerations