基于RD-SRT的TR MIMO雷达DOA估计算法

针对时间反转MIMO雷达多重信号分类算法计算量庞大的问题,提出一种基于降维子空间旋转变换技术的多目标波达角估计算法。首先,通过采用降维思想对TR MIMO回波信号进行降维处理,来减少计算量; 然后,为构造旋转变换矩阵,对噪声子空间按行分块并取其逆矩阵; 最后,利用该逆矩阵对噪声子空间矩阵旋转变换,得到低维子空间矩阵,对比导向矢量构造谱函数估计目标的角度信息。相对于传统的MUSIC算法,该算法降低了噪声子空间的维度,大大降低了计算量,而且具有更高的目标分辨率。

DOA Estimation Algorithm of TR MIMO Radar Based on RD-SRT

For the problem of huge computations of multiple signal classification( MUSIC) algorithm in the time reversal(TR)MIMO radar,a multi-target direction of arrival(DOA)estimation algorithm based on reduced dimension ( RD ) and subspace rotation technique ( SRT) was proposed. Firstly, the proposed algorithm was applied to reduce the dimension for the echo signal of TR MIMO,and the computational complexity was reduced. To construct a rotation transformation matrix, the noise subspace matrix was divided into two sub-matrices along its row direction, and its inverse matrix was obtained. Finally, the rotation transformation of noise subspace matrix was carried out by the inverse matrix, and the lower-dimensional subspace matrix was obtained. According to the orthogonality of rotated sub-noise subspace and the signal subspace,a new spectral function was established to estimate angles. Compared with the conventional MUSIC algorithm,the proposed algorithm can reduce the computational complexity and greatly improve the resolution ratio by decreasing the dimension of noise subspace.