摘要
针对阵列信号中部分自适应信号处理问题,提出了一种新的基于广义旁瓣相消的降维方法。该方法利用波束形成无法对加性白噪声进行抑制的特点,根据广义旁瓣相消器的结构,设计出一种新的阻塞降维矩阵,使辅助通道内仅存干扰信号,从而增强主辅通道关于干扰信号的相关性,更有利于抑制干扰,同时也达到了降维的效果。另一方面,在存在阵列误差的情况下,借助稳健的波束形成算法,对阻塞降维矩阵进行校正,既使算法对模型误差不敏感,又便于进行降维后的部分自适应处理,降低运算量。最后通过大量的计算机仿真验证了所提方法的有效性和优越性。
Aiming at the problem of partial adaptivity in array signal processing, a novel dimension-reduction method based on GSC（General Sidelobe Canceller） is presented in this paper. A new block and dimension-reduction matrix is proposed using the structure of GSC and the property that beamforming has no effect for additive white gaussian noise, thus the coherence about interferences is improved accordingly. Therefore, not only can interferences be suppressed, but satisfactory dimension-reduction can be acquired also. The proposed method has low computational complexity due to the designed block matrix and is not sensitive to the system error by using robust processing. Simulation results demonstrate its validity and superiority at the end of the paper.
出处
《雷达科学与技术》
2007年第3期213-219,共7页
Radar Science and Technology
基金
国家自然科学基金(No.60472097)
关键词
部分自适应
广义旁瓣相消器
降维
阻塞矩阵
模型误差
稳健性
partial adaptivity
GSC（General sidelobe canceller）
dimension-reduction
block matrix
system errors
robustness
