686 research outputs found

    Calculation of the Performance of Communication Systems from Measured Oscillator Phase Noise

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    Oscillator phase noise (PN) is one of the major problems that affect the performance of communication systems. In this paper, a direct connection between oscillator measurements, in terms of measured single-side band PN spectrum, and the optimal communication system performance, in terms of the resulting error vector magnitude (EVM) due to PN, is mathematically derived and analyzed. First, a statistical model of the PN, considering the effect of white and colored noise sources, is derived. Then, we utilize this model to derive the modified Bayesian Cramer-Rao bound on PN estimation, and use it to find an EVM bound for the system performance. Based on our analysis, it is found that the influence from different noise regions strongly depends on the communication bandwidth, i.e., the symbol rate. For high symbol rate communication systems, cumulative PN that appears near carrier is of relatively low importance compared to the white PN far from carrier. Our results also show that 1/f^3 noise is more predictable compared to 1/f^2 noise and in a fair comparison it affects the performance less.Comment: Accepted in IEEE Transactions on Circuits and Systems-I: Regular Paper

    Analysis and Compensation of Power Amplifier Distortions in Wireless Communication Systems

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    Wireless communication devices transmit message signals which should possess desirable power levels for quality transmission. Power amplifiers are devices in the wireless transmitters which increase the power of signals to the desired levels, but produce nonlinear distortions due to their saturation property, resulting in degradation of the quality of the transmitted signal. This thesis talks about the analysis and performance of communication systems in presence of power amplifier nonlinear distortions. First, the thesis studies the effects of power amplifier nonlinear distortions on communication signals and proposes a simplified design for identification and compensation of the distortions at the receiver end of a wireless communication system using a two-step pilot signal approach. Step one involves the estimation of the channel state information of the wireless channel and step two estimates the power amplifier parameters. Then, the estimated power amplifier parameters are used for transmitter identification with the help of a testing procedure proposed in this thesis. With the evolution of millimeter wave wireless communication systems today, study and analysis of these systems is the need of the hour. Thus, the second part of this thesis is extended to study the performance of millimeter wave wireless communication systems in presence of power amplifier nonlinear distortions and derives an analytical expression for evaluation of the symbol error probability for this system. The proposed analysis evaluates the performance of millimeter wave systems theoretically without the need of simulations, and is helpful in studying systems in the absence of actual hardware

    High power amplifier pre-distorter based on neural-fuzzy systems for OFDM signals

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    In this paper, a novel High Power Amplifier (HPA) pre-distorter based on Adaptive Networks - Fuzzy Inference Systems (ANFIS) for Orthogonal Frequency Division Multiplexing (OFDM) signals is proposed and analyzed. Models of Traveling Wave Tube Amplifiers (TWTA) and Solid State Power Amplifiers (SSPA), both memoryless and with memory, have been used for evaluation of the proposed technique. After training, the ANFIS linearizes the HPA response and thus, the obtained signal is extremely similar to the original. An average Error Vector Magnitude (EVM) of 10-6 can be easily obtained with our proposal. As a consequence, the Bit Error Rate (BER) degradation is negligible showing a better performance than what can be achieved with other methods available in the literature. Moreover, the complexity of the proposed scheme is reducedThis work was supported in part by projectsMULTIADAPTIVE (TEC2008-06327-C03-02) and AECI Program of Research Cooperation with MoroccoPublicad

    Power efficient adaptive mitigation of local interference in multimode wireless transceivers

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    Optical Orthogonal Frequency Division Multiplexed communication systems: analysis, design and optimization

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    En este trabajo se realiza una intensiva labor teórica de descripción de sistemas de comunicaciones ópticas que utilizan la técnica de multiplexación por división de frecuencias ortogonales (OFDM en inglés), más concretamente en sistemas con modulación directa de la intensidad de un láser y detección directa. Se parte pues de un modelo analítico que estudia con detalle todos aquellos fenómenos que afectan a la señal de información detectada en el receptor. Tales fenómenos son: la nolinealidad del láser, las modulaciones de intensidad y de fase ópticas, la propagación a través de la fibra óptica teniendo en cuenta la dispersión cromática de primer orden, y la detección de intensidad óptica final mediante un detector de ley cuadrática. El modelo analítico es validado mediante comparaciones con resultados obtenidos a través de simulaciones con software comercial. Dada la característica singularidad de las señales OFDM debidas a su naturaleza multi-portadora, la amplitud de la señal generada es aleatoria, y el modelo analítico es complementado con un estudio que contempla el recorte o "clipping" en el transmisor. Además, se tiene en cuenta los efectos de filtrado de la señal a lo largo de sistema de comunicaciones. Con el trabajo analítico realizado se está en disposición de realizar una descripción bastante completa de los principales fenómenos y realizar estudios para evaluar el funcionamiento final ante diferentes valores de los parámetros del sistema. Es bien sabido que los sistemas de comunicaciones ópticas con modulación y detección directa se ven perjudicados por la distorsión no lineal, que para señales multi-portadora como OFDM se traduce en la mezcla de los símbolos de información que transportan las diferentes subportadoras. Para mitigar la distorsión no lineal y así mejorar el funcionamiento del sistema, se propone el uso de una técnica de pre-distorsión que se basa en el modelo analítico previamente propuesto. Esta técnica mejora la eficiencia de modulación, haciendo posible incrementar el término de la señal de información sin que se vea incrementada la distorsión no lineal en el receptor. La técnica aquí propuesta se compara también con otra ya publicada con el objetivo de evaluar su funcionamiento. Otra técnica para la mejora de sistemas con modulación y detección directas es la realizada mediante filtrado óptico. Aunque se conoce de forma más o menos intuitiva su funcionamiento para formatos de modulación ópticos tradicionales, es preciso disponer de una formulación matemática para señales ópticas OFDM para entender de forma exacta su principio de operación, las mejoras obtenidas, así como su potencial. En esta estapa se realiza esta formulación matemática ampliando el análisis teórico previamente propuesto, y se aplica para evaluar el funcionamiento obtenido con diversas estructuras de filtrado óptico. Finalmente, puesto que un potencial escenario de funcionamiento para señales ópticas OFDM son las redes de acceso donde operan más de un usuario, se propone y se estudia la técnica "interleaving division multiple access" (IDMA) en combinación con OFDM.Sánchez Costa, C. (2014). Optical Orthogonal Frequency Division Multiplexed communication systems: analysis, design and optimization [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/39375TESI

    Blind Sensor Calibration using Approximate Message Passing

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    The ubiquity of approximately sparse data has led a variety of com- munities to great interest in compressed sensing algorithms. Although these are very successful and well understood for linear measurements with additive noise, applying them on real data can be problematic if imperfect sensing devices introduce deviations from this ideal signal ac- quisition process, caused by sensor decalibration or failure. We propose a message passing algorithm called calibration approximate message passing (Cal-AMP) that can treat a variety of such sensor-induced imperfections. In addition to deriving the general form of the algorithm, we numerically investigate two particular settings. In the first, a fraction of the sensors is faulty, giving readings unrelated to the signal. In the second, sensors are decalibrated and each one introduces a different multiplicative gain to the measures. Cal-AMP shares the scalability of approximate message passing, allowing to treat big sized instances of these problems, and ex- perimentally exhibits a phase transition between domains of success and failure.Comment: 27 pages, 9 figure

    On Models, Bounds, and Estimation Algorithms for Time-Varying Phase Noise

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    In this paper, first, a new discrete-time model of phase noise for digital communication systems, which is a more accurate model compared to the classical Wiener model, is proposed based on a comprehensive continuous-time representation of time-varying phase noise, and statistical characteristics of this model are derived. Next, the non-data-aided (NDA) and decision-directed (DD) maximum-likelihood (ML) estimators of time-varying phase noise, using the proposed discrete-time model are derived. To evaluate the performance of the proposed estimators, the Cramer-Rao lower bound (CRLB) for each estimation approach is derived and by using Monte-Carlo simulations it is shown that the mean-square error (MSE) of the proposed estimators converges to the CRLB at moderate signal-to-noise ratios (SNR). Finally, simulation results show that the proposed estimators outperform existing estimation methods as the variance of the phase noise process increases
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