18 research outputs found

    Localization and Fingerprint of Radio Signals Employing a Multichannel Photonic Analog-to-Digital Converter

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    [EN] The fingerprint and localization of radio signals employing a multichannel photonic analog-to-digital converter (ADC) is proposed, analyzed, and demonstrated in a laboratory experiment. The photonic ADC detects the radio signals with high sensitivity in a large bandwidth without down-conversion stages. This is of special interest when processing emerging low-power wireless standards like ultra-wideband (UWB) radio. The optical processing in the multichannel photonic ADC is tailored for the localization and fingerprint of generic radio transmitters when orthogonal-frequency division multiplexing (OFDM) modulation is employed in the transmission. The photonic ADC includes engineered optical and electrical amplification. The experimental work demonstrates that detection of radio signals with -65 dBm power with signal-to-noise ratio better than 20 dB is feasible, which is in good accordance with the theoretical analysis. The multichannel photonic ADC comprises five optical channels which are precisely time-aligned in optical domain achieving 0.23-m spatial resolution (median) in the localization of radio transmitters. The experimental work also demonstrates that photonic-ADC processing is adequate for OFDM-based UWB radio-signal fingerprint including estimation of the average power, frequency band of operation, and time-frequency hopping pattern if applicable. UWB transmitter localization has been experimentally demonstrated with 0.4-m error.This work was supported in part by the European 7th Framework Program Project UCELLS FP7-IST-216785. The work of M. Morant was supported by Spain FPU MEC under Grant AP2007-01413.Llorente, R.; Morant, M.; Puche, JF.; Romme, J.; Amiot, N.; Uguen, B.; Duplicy, J. (2010). Localization and Fingerprint of Radio Signals Employing a Multichannel Photonic Analog-to-Digital Converter. IEEE Transactions on Microwave Theory and Techniques. 58(11):3304-3311. https://doi.org/10.1109/TMTT.2010.2076730S33043311581

    MU-MIMO in LTE systems

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    Blind Coarse Timing Offset Estimation for CP-OFDM and ZP-OFDM Transmission over Frequency Selective Channels

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    We present a blind coarse timing offset estimation technique for CP-OFDM and ZP-OFDM transmission over frequency selective channels. The technique exploits the cyclic prefix or zero-padding structure to estimate the starting position of the OFDM symbols without requiring any additional pilots. Simulation results are performed on various channel models with timing and frequency offsets. The presented technique is compared with the autocorrelation-based technique and various techniques in frequency selective channels. Our algorithm shows better performance results than those of the autocorrelation-based technique in NLOS channels, where the most predominant channel path is usually not the first arrival path

    Distributed RF sensing framework with radio environment emulation

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    This paper introduces a reconfigurable test bed for advanced distributed RF sensing algorithmic prototyping and performance evaluation that demonstrates the feasibility of the QoSMOS project sensing architecture. Both the individual sensors and the controller unit are implemented using the open SDR platform GNU Radio. The sensors use USRP hardware. The current implementation uses the energy detection algorithm in the sensors and the hard 1-out-of-M combination in the controller unit to generate the final decision on the presence of an incumbent signal. All communication between the controller unit and the sensing elements is done over standard IP protocol for ease of use. The test signals imitating the RF scene that the sensors would experience in a real world deployment are created using an Agilent's state-of-the-art radio environment emulator. The significant gains achieved with this distributed sensing test bed are aligned with the theoretical results found in the literature

    Robust MMSE precoding for the MIMO complex Gaussian broadcast channel

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    This paper addresses the design of the linear precoders and decoders of the complex Gaussian broadcast channel in which both the base station and the remote station are equipped with arrays of multiple antennas. An imperfect channel knowledge is assumed at the base station and the minimization of the sum of the mean square errors (MMSE) of the system's substreams is chosen as optimization criterion. A stochastic approach is taken to make the design robust against the channel estimation errors. The solution is based on an iterative algorithm whose convergence is guaranteed. Simulations results emphasize the benefit of the proposed design.Anglai
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