基于空时级联单脉冲的多目标参数高效估计算法( M-STCMP)是一种高效的雷达多目标参数估计算法,但在干扰环境下其参数估计性能将严重下降。文中提出了基于空域自适应单脉冲的抗干扰多目标参数估计(AM-STCMP)算法。首先,将空域自适应单脉冲技术引入M-STCMP 算法,自适应形成和差波束抑制干扰信号,提高各目标的信干噪比,并迭代修正自适应和差波束的鉴角曲线;其次,采用空时级联单脉冲技术估计各目标的距离-速度两维参数;最后,采用Relax算法高精度迭代估计各目标的角度-速度-距离三维参数。理论分析和仿真结果验证了AM-STCMP算法的有效性,其参数估计性能接近无干扰情形。

The multi-target space-time cascade monopulse(M-STCMP) algorithm is an efficient method for radar multi-target parameter estimation. However, when operating in an environment with interference, the directional diagram can become distorted, resulting in a significant decrease in parameter estimation performance. In response, an anti-jamming multi-target parameter estimation algorithm based on space-time cascade monopulse (AM-STCMP) algorithm is proposed in this paper. This algorithm incorporates spatial adaptive monopulse technology into the M-STCMP, the sum and difference beams are formed adaptively to suppress interference signals, the SINR of each target is improved, and the Angle detection curves of the adaptive sum and difference beams are iteratively modified. Additionally, it conducts multi-target parameter estimation based on the M-STCMP to estimate the distance-velocity two-dimensional parameters of each target. Finally, the angle-velocity-distance three-dimensional parameters of each target are iteratively estimated by the Relax algorithm with high accuracy. Theoretical analysis and simulation have borne out the effectiveness of the proposed algorithm, the parameter estimation performance of the AM-STCMP algorithm approaches the interference-free case.

TN972

国家自然科学基金资助项目(62271190);江苏省自然科学基金资助项目(BK20221499)