Multiple input and multiple output (MIMO) radar systems have advantages over traditional phased-array radar in resolution, parameter identifiability, and target detection. However, the estimation performance of the direction of arrivals (DOAs) and the direction of departures (DODs) will be significantly degraded for a colocated MIMO radar system with unknown mutual coupling matrix (MCM). Although auxiliary sensors (AS) can be set to solve this problem, the computational cost of two-dimensional multiple signal classification (2D-MUSIC) is still large. In this paper, a new angle estimation method is proposed to reduce the computational complexity. First, a local-search range is defined for each initial angle estimation obtained by the MUSIC with AS method. Second, the new estimation of DOAs and DODs of the targets is estimated via the joint estimation theory of angle and mutual coupling coefficient in the local search area. Simulation results validate that the proposed method can obtain the same precision and have the advantage over the global searching in computational complexity.

中文翻译：

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使用局部搜索的角度估计对未知 MCM 的双基地 MIMO 雷达

多输入多输出 (MIMO) 雷达系统在分辨率、参数可识别性和目标检测方面优于传统相控阵雷达。然而，对于具有未知互耦合矩阵（MCM）的共置 MIMO 雷达系统，到达方向（DOA）和离开方向（DOD）的估计性能将显着降低。虽然可以设置辅助传感器（AS）来解决这个问题，但二维多信号分类（2D-MUSIC）的计算成本仍然很大。在本文中，提出了一种新的角度估计方法来降低计算复杂度。首先，为 MUSIC with AS 方法获得的每个初始角度估计定义局部搜索范围。第二，新的目标DOA和DOD估计是通过局部搜索区域的角度和互耦合系数联合估计理论来估计的。仿真结果验证了所提出的方法可以获得相同的精度，并且在计算复杂度上优于全局搜索。