三维空间中高超声速目标修正三级Hough变换-检测前跟踪算法

Modified Triple-stage Hough Transform Track-before-detect Algorithm in Three-dimensional Space for Hypersonic Target

针对大型相控阵雷达对于临近空间高超声速目标的检测跟踪问题,该文提出一种修正的3级Hough变换(MTS-HT)检测前跟踪算法。首先,为了解决直接进行3维Hough变换计算量大的问题,将3维点迹依次降维映射至径向距离-时间、方位角-时间和仰角-时间3个平面进行2维Hough变换;其次,为了能够在充分利用点迹能量信息的基础上尽量减小强干扰的影响,在每级Hough变换中采用非相参积累和二值积累相结合的双重积累方式进行点迹筛选;最后,通过引入运动约束以及合并相似航迹的方式进行航迹精简,从而有效降低虚假航迹数,得到按照时序关联的最终检测航迹。仿真结果表明,该算法具有较高的航迹检测概率和较低的虚假航迹检测概率,可以实现对临近空间高超声速目标的有效检测跟踪。

In view of detection and tracking issue with large phased array radar for near-space hypersonic targets, a Modified Triple-Stage Hough Transform （MTS-HT） Track-Before-Detect （TBD） algorithm is proposed. Firstly, in order to reduce huge computational load problem from direct three-dimensional Hough transform, three- dimensional measurement points are mapped into range-time plane, azimuth-time plane and elevation-time plane in turn for two-dimensional Hough transforms. Besides, to decrease the impact from strong interference, meanwhile make full use of energy information of points, point selection is carried on by double integration means of non-coherent integration and binary integration in every stage. Finally, false trajectory will be reduced effectively by motion constraints as well as merging of similar trajectories and the final trajectory from sequence association can be obtained. Simulation results show that proposed algorithm can realize effective detection and tracking for near-space hypersonic targets with relatively high trajectory detection probability and low false trajectory detection probability.