主瓣內(nèi)外干擾同時(shí)抑制的分維測(cè)向算法
[Abstract]:Interference suppression is one of the most important problems in source location and tracking. For sidelobe interference, adaptive beamforming techniques are used to suppress the sidelobe interference. However, when the interference enters from the main beam, the common anti-sidelobe interference methods will form a deep zero point on the main beam interference position, which will make the main beam point offset, the main beam distortion, and the sidelobe level obviously elevated. Thus the direction finding accuracy and tracking accuracy of the target are affected. In view of the existence of main lobe interference, this paper takes planar phased array as the research platform, focuses on the suppression of interference and direction finding algorithm when the main lobe interference exists simultaneously. The main research contents are as follows: first of all, The main lobe interference suppression and pattern preserving algorithm for planar array are studied. In view of the fact that the general adaptive beamforming method can worsen the beam-forming performance, this paper introduces three main lobe interference suppression and pattern preserving methods, which include fusion data preprocessing, adaptive beamforming and pattern preserving. By preprocessing the adaptive beamforming method, the main lobe interference azimuth information is estimated first, and then the main lobe interference is preprocessed according to the estimated azimuth information. Then the pattern preserving strategy is added to the general adaptive beamforming method to ensure the interference zeroing effect and to maintain the shape of the winner beam after interference suppression. Finally, the performance of the algorithm is analyzed and explained by simulation experiment. Secondly, the fractal equivalent interference suppression and pattern preserving algorithm of planar array are studied. Combined with fractal dimension processing technique and principal lobe interference suppression technique, a fractal equivalent adaptive interference suppression and pattern preserving algorithm is proposed. After dividing the fractal dimensions of all the elements of the whole array, the adaptive method is equivalent to the uniform linear array with pitch and azimuth dimensions, so that the data processing of the plane array can be transformed into the data processing of two uniform linear arrays. Firstly, the main lobe interference blocking matrix is constructed for two uniform linear arrays, and then the conventional anti-sidelobe interference method is used to preserve the shape of the main beam by adding the pattern conserving strategy to the interference suppression at the same time. Thus, the performance of the main beam can be maintained on the premise of simultaneous suppression of the main lobe and the interference inside and outside the main lobe. The anti-jamming performance and shape-preserving effect of this method are analyzed by simulation experiments. Finally, four channel GSC interference suppression and direction finding algorithms are studied. On the basis of channel, pitch difference channel and azimuth difference channel, a double differential channel is added to form four channels, which combines the reduced dimension four channel monopulse system with the generalized sidelobe canceller. A dimensionally reduced four channel GSC interference suppression and direction finding algorithm is proposed. For large planar phased array, by subarray division, dimension reduction processing is realized. After dimensionality reduction processing, four channels and differential beamforming are carried out, respectively, the interference blocking matrix of four channels is constructed. Four channel GSC was used to suppress sidelobe interference. Then the fractal dimension deals with the interference of the main lobe, that is, the interference is suppressed by adaptive and differential beamforming for another orthogonal dimension under the condition that one dimension (pitch dimension or azimuth dimension) is not adaptive. Simulation experiments and performance analysis show that the proposed algorithm has good interference suppression and shape preserving effect and high direction finding accuracy.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN972
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