基于广义斜投影的雷达抗主瓣干扰方法

An Anti Main-lobe Interference Method Based on Generalized Oblique Projection

针对雷达抗主瓣干扰问题,提出一种基于广义斜投影的空极联合抗主瓣干扰方法。以非完备电磁传感器建立均匀圆阵极化敏感阵列信号接收模型;提出基于重构数据协方差矩阵的改进多重信号分类算法,以提升信号相干、低信噪比条件下的参数估计效果;提出基于相关性最大准则的极化参数估计方法,无需谱峰搜索,以减少运算复杂度;利用多线性约束最小方差准则设计广义斜投影滤波器,抑制主瓣干扰。实验结果表明:与同类极化估计算法对比,在0~40dB信噪比区间内极化参数估计的误差小于同类算法,且拥有更低的运算量;滤波后的波形特征明显,能够完全滤除干扰信号,并且保留期望信号的幅度、相位信息。

To address the issue of radar anti-main lobe interference,a space-polarization combined anti main-lobe interference method was proposed based on generalized oblique projec-tion.First,a signal reception model for the uniform circular polarization sensitive array was estab-lished by incomplete electromagnetic sensors.Thereby,an improved multiple signal classification(MUSIC)algorithm was proposed based on reconstructed covariance matrix to improve the pa-rameter estimation performance under signal coherence and low signal-to-noise ratio conditions.Subsequently,the polarization parameter estimation method,which has lower computational com-plexity because of no need of spectral peak search,was proposed based on the maximum correla-tion criterion.Accordingly,a generalized oblique projection filter was designed by the minimum variance criterion with multiple linear constraints to suppress main-lobe interference.Experimental results showed that the estimation error of polarization parameters between 0 dB to 40 dB signal-to-noise ratio range is smaller than that obtained by similar polarization estimation algorithm and has lower computational complexity.The distinct filtered waveform characteristics showed that the proposed method can completely filter out interference signals while retaining the amplitude and phase information of the desired signal.