复杂干扰杂波环境下三维目标检测前跟踪算法

3D target track before detect algorithm in complex environmentwith interference and clutter

针对因随机假目标干扰、强杂波存在的复杂环境中三维目标检测问题,提出一种基于平行线坐标变换的多层次检测前跟踪算法。雷达量测点被先后置于规格化后的径向距离-时间平面、方位角-时间平面和俯仰角-时间平面分层次进行非相参积累和点迹筛选,每次筛选只对上一层的筛选结果进行处理,再根据先验信息进行航迹约束和航迹融合,得到最终检测结果。通过仿真对算法进行性能验证和分析,结果显示,该算法在不同信干杂比、量测误差和杂波密度下均能有效滤除虚假量测点,实现真实航迹的检测。

Aiming at the problem of 3D target detection in complex environment with random false target interference and strong clutter,a multi-level track before detect algorithm based on the parallel-line-coordinate transformation was proposed.Radar measurement points were placed in the normalized radial range-time plane,azimuth-time plane and pitch angle-time plane successively,the non-coherent accumulation and points filtering were carried out in each level,and each level was processed only on the results of the previous level.Based on the prior information,track constraint and track fusion were carried out to obtain the final detection result.The performance of the algorithm was verified and analyzed through simulation.The results show that the proposed algorithm can effectively filter out false measurement points and achieve the detection of real tracks under different signal-to-interference clutter ratios,measurement errors,and clutter density.