配准误差下的多基地雷达目标检测算法

摘要

In a multistatic radar system, perfect registration is unavailable in practice even after a registration process. In this paper, a target detection problem for a distributed Multiple-Input Multiple-Output (MIMO) radar with registration errors is considered. To estimate target positions by weather using a knowinga priori information of registration errors or not, a MaximumA PosterioriGeneralized Likelihood Ratio Test (MAP-GLRT) detector and a Maximum Likelihood GLRT (ML-GLRT) detector are proposed. The MAP-GLRT detector outperforms the ML-GLRT detector due to the prior information. The two proposed algorithms have better detection performance over the conventional detection fusion algorithm with registration errors. Simulation results verify the effectiveness of the proposed detection algorithms.%在多基地雷达系统中，即使进行了空间配准处理，也很难实现完美的空间配准。该文研究了分布式MIMO雷达系统存在配准误差时的目标检测问题。根据是否利用已知先验配准误差信息对目标位置信息进行估计，给出了MAP-GLRT和ML-GLRT两种检测器。由于MAP-GLRT检测器利用了先验信息，因此其检测性能优于ML-GLRT检测器。在配准误差条件下，两种检测器的性能要优于传统的融合检测算法。通过仿真实验验证了所提算法的有效性。