基于约束最小冗余线阵与干扰对消的测向方法

针对有源干扰背景下信号源和干扰源的个数超过线阵的自由度而产生线阵饱和现象,提出一种将约束最小冗余线阵与干扰对消技术相结合的测向方法。通过将无源状态和有源状态下线阵输出数据的协方差矩阵进行对消运算去除有源干扰和噪声分量,并对约束最小冗余线阵的波达方向(DOA)估计算法进行改进,构造了新的协方差Toeplitz矩阵,有效抑制了由阵列非均匀性导致的伪峰,提高了阵列的DOA估计性能。仿真结果表明:该算法在低信噪比背景下具有抗有源干扰能力,扩展了阵列孔径,并具有较高的测向精度和鲁棒性。

Direction Finding Based on Restricted Minimum Redundant Linear Arrays and Interference Canallation

To resolve the problems of linear array saturation phenomenon when the number of signal and jammer were larger than the degree of freedom of linear array in active, a technique of direction finding based on restricted minimum redundant linear arrays and interference canallation was proposed. The jammers and noises were cancelled after doing subtraction of two covariance matrices of the linear array output in passive and active cases. The DOA estimation algorithm on restricted minimum redundant linear array was improved by constructing a new toeplitz covariance matrix. The simulation showed that the algorithm was of better performance in low SNR, such as anti-active jamming, extending aperture, high precision and robustness.