密集杂波背景下雷达微弱海面目标的修正Hough变换TBD检测新方法

A Novel Radar TBD Detection Approach for Weak Marine Targets in Dense Clutter Based on Modified Hough Transform

针对密集杂波背景中雷达微弱海面目标检测问题,提出一种基于修正Hough变换的检测前跟踪(Track Before Detect,TBD)新方法.在传统两级检测器的基础上增加点迹筛选环节,提出一种基于单帧观测数据的修正单帧Hough变换(Modified Single Hough Transform,MSHT)算法,在MSHT空间引入连续多帧共线和速度约束条件,实现对密集杂波点迹的有效抑制;针对海面多目标同时检测需要,改进传统批处理Hough变换算法,使观测空间原点自适应筛选后点迹数据,得到数据匹配Hough变换算法(Data-Matched Hough Transform,DMHT),以提升参数空间多目标分辨与检测能力.基于游程分布理论推导得到新检测器检测性能解析表达式.仿真和实测数据处理结果验证了本文方法的有效性,表明本文方法在密集杂波背景下具有良好检测性能.

Focusing on radar dim targets detection in dense clutter environment,we propose a novel track-before-detect(TBD)method based on modified Hough transform.On the basis of traditional two-stage TBD detector framework,an additional plot censoring stage was designed and a single frame observation based modified Hough transform(MSHT)was presented.By inspecting the SMHT results over several consecutive scans with the constrains of multi-scan collinear and maximum expected velocity,most of the clutter-derived plots were effectively eliminated.To detect multi targets simultaneously,the traditional block-based Hough transform was improved to be a form named as data-matched Hough transform(DMHT),which automatically adapts the original of the observation space according to the censored plots,and can significantly prompt the resolution and detection ability of multi targets in the parametric space.The analytic expression of the new detector’s detection performance was given based on the random run distribution theory.Tests on both the simulated and measured data sets show the effectiveness and good detection performance of the proposed method,especially in dense clutter environments.