雷達(dá)通信一體化數(shù)字預(yù)失真研究
[Abstract]:Radar as an important electronic equipment in aerospace and military fields, the traditional methods of reconnaissance and processing, as well as the ability of low-speed real-time data processing, are more and more unable to meet the requirements. With the development and progress of science and technology, the requirements of multi-terminal, miniaturization and multi-function make the research of the core technology of radar communication integration system very urgent. In the integrated radar communication system, the nonlinear influence of radar power amplifier on the common digital modulation signal is the main obstacle restricting the high-speed communication of the integrated system. The nonlinear characteristics of radar power amplifier, the influence on the digital modulation signal, and the different digital predistortion techniques based on polynomial and table searching method are studied in this paper. The power amplifier of radar system usually works in the depth saturation region to obtain high transmission power, which causes serious distortion of the signal, resulting in the increase of the bit error rate at the receiving end and even the failure to demodulate the signal. In this paper, different power amplifier models and characteristic curves of radar power amplifier are simulated. It is proved that radar power amplifier has memory effect, and the nonlinear description error of radar power amplifier by the model of memoryless nonlinear system is large. The memory polynomial power amplifier model can accurately describe the nonlinear characteristics of radar power amplifier. The simulation results show that the 16QAM signal is most sensitive to the nonlinear effect of the three modulation modes, and the simulation results show that the 16QAM signal is most sensitive to the nonlinear effect of the power amplifier, and the simulation results show that the 16QAM signal is most sensitive to the nonlinear effect of the amplifier. The digital predistortion algorithm of the system must be able to successfully correct the 16QAM signal. The premise of the integrated radar communication system is to add the communication signal processing module to the original radar equipment, which can not affect the work of the radar itself. Therefore, this paper deals with the memoryless polynomial predistortion algorithm, which has practical significance in engineering. The Hammerstein predistortion algorithm, memory polynomial algorithm and table lookup method are mainly studied. The simulation performance of the adaptive predistortion algorithm is analyzed. Based on the LMS algorithm, the improvement is made to facilitate the hardware implementation. The effects of different algorithms to improve the constellation diagram, eye diagram and bit error rate of 16QAM signal through radar power amplifier model are analyzed. The simulation results show that the memoryless predistortion model can improve the memoryless power amplifier significantly. But the nonlinear effect of memory amplifier model can not be compensated effectively. Hammerstein predistortion model has good linearization effect on Wiener power amplifier model, but it can not describe the nonlinear memory effect of radar power amplifier model. The memory polynomial predistortion model can give a good linearization effect to the radar power amplifier model. The higher the order and memory depth, the better the compensation effect and the more difficult the realization. In order to reduce the difficulty of realizing the memory polynomial, the memory polynomial model is combined with the look-up table method, and the model is constructed by using the look-up table to store the polynomial coefficients. The simulation results show that the model has a remarkable linearization effect on the radar power amplifier. Constellation diagram and eye chart are improved, error rate is close to linear power amplifier.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN958
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