摘要
在高斯色噪声背景下,提出了高阶累积量最小范数算法,实现了均匀线阵双基MIMO雷达的波离方向和波达方向的联合估计。最小范数算法利用双基MIMO雷达的联合导向矢量矩阵与噪声子空间正交,用噪声子空间的全部噪声奇异矢量构成最小范数矢量,相比MUSIC算法计算量小。仿真结果也表明在低信噪比时,最小范数算法的估计性能较好。
A minimum norm algorithm is proposed to implement the joint estimation of direction of departure and direction of arrive under the background of Gaussian color noise. The minimum norm algorithm is based on the higher order cumulant aimed at the Uniform Linear Array （ULA） double- based MIMO radar. By utilizing the orthogonality between joint steering vector matrix and the noise subspace, a minimum norm vector is obtained from the all noise singular vectors. So the calculation complexity is reduced and the parameter estimation accuracy is improved. The simulation results show that the performance of the proposed minimum norm algorithm is better when SNR is low.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2014年第5期1460-1465,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(50977037
51075175)
吉林省科技发展计划项目(20140101078JC)
