双基地MIMO雷达收发角和径向速度联合估计

Joint DOD-DOA and Radial Velocity Estimation for Bistatic MIMO Radar

在双基地MIMO雷达信号模型基础上,提出一种新的目标收发角和径向速度联合估计方法。该方法首先将三参数估计问题转化为非对称联合对角化问题,然后采用最小二乘循环算法对其求解,估计收发导向矩阵和速度矩阵,最后利用谱分析算法恢复收发角和径向速度。同时采用截断高阶奇异值分解(THOSVD)对数据进行压缩处理,减小运算量。该方法充分利用匹配滤波输出的所有信息,无需二维谱峰搜索,每次循环均可得到精确的闭式解。与基于并行因子(PARAFAC)分析的方法相比,该方法可获得更高的参数估计精度,且三参数自动配对。仿真表明了方法的有效性。

Based on the signal model of bistatic muhiple-input multiple-output （MIMO） radar, a new method for joint direction of departure （DOD）-direction of arrival （DOA） and radial velocity estimation is proposed. First, the estimation of three parameters is transformed into the asymmetrical joint diagonalization problem. Then, a least square cycle algorithm is used to solve it. The transmit steering matrix, receive steering matrix and velocity matrix are estimated. Finally, DOD- DOA and radial velocity are regressed by utilizing spectrum analysis algorithms. The computational cost is reduced by compressing the data via truncated high order singular value decomposition （THOSVD）. The proposed method fully exploits all the information of matched filter output, without two-dimensional spectrum peak searching, and it gives an accurate closed form solution each cycle. Compared with the parallel factor （PARAFAC） decomposition based approach, it gives better parameter estimation accuracy with DOD-DOA and radial velocity automatically paired. The effectiveness of the proposed method is demonstrated by simulations.