远距离支援干扰下的目标跟踪技术

针对远距离支援干扰下雷达较难检测到干扰机掩护区域内的目标,其他区域内目标航迹不稳定的问题,提出了噪声干扰下的PF-TBD(Particle Filter based Track Before Detect)算法和门限自适应的MHT(Multiple Hypothesis Tracking)算法,并将这两种算法进行整合,使其能够根据雷达探测区域受干扰的程度选取相应的算法.研究了不同雷达探测区域内目标的航迹管理.仿真表明,此方法充分整合了两种算法的优点,提高了20%以上的雷达探测区域范围,兼顾了算法的时效性,同时该方法对干扰是否存在具有较强的适应性,对远距离支援干扰或其他压制干扰下目标跟踪具有一定的理论参考意义和实际应用价值.

Tracking technique in the presence of standoff jamming

In the presence of standoff jamming(SOJ), radar has low probability of target detection, which brings up the trackloss and decreases the track lifetime. Aimed at these problems, a combined target tracking approach was presented. The approach has two components: particle filter based track before detect(PF-TBD) and adaptive detection threshold selection in multiple hypothesis tracking(MHT). Track management in different region was also considered. Simulation results indicate that the approach presented takes fully advantage of TBD, meanwhile the time efficiency spent in target tracking in the whole surveillance region is considered, and it has expanded 20% of the surveillance region of radar. The resulting advantage suggests that this approach is of important reference significance for the theory and realization of tracking system in the presence of SOJ or other jamming.