摘要
当跟踪目标属于隐身目标、低空目标或处于强杂波和干扰环境,都会导致雷达的目标检测概率降低,丢失率较高。因此,本文着重研究PHD算法在检测概率较低的情况下跟踪稳定性不佳的缺陷,找出了一种适用于低目标检测概率的L-GMPHD滤波,通过对前一时刻状态估计值外推,若发生漏检,则将外推值加入当前时刻状态估计值中,确保了目标的状态估计不被裁剪去除。从MATLAB仿真结果可知,L-GMPHD滤波器处于检测概率较低的情况时,能够明显改善目标跟踪的稳定性。该方法能够保持高精度的多目标跟踪,具有良好的工程应用前景。
When the tracking target belongs to the stealth target,the low altitude target or in the strong clutter and interference environment,will lead to the radar target detection probability decreases,the loss rate is high. In this paper,a low detection probability filter is proposed for the PHD filter with poor tracking performance in the low detection probability environment. By measuring the state estimation value at the previous time,If there is undetected,the extrapolated value will be added to the current state estimate to ensure that the state estimation value of the target is not removed by cutting. The simulation results show that the proposed filter can improve the performance of target tracking under the low detection probability. The method can keep track of multiple targets with high precision,and has good engineering Prospects.
作者
张腾
曹晨
张靖
邢孟道
ZHANG Teng1,2, CAO Chen2, ZHANG Jing2, XING Mengdao1(1. National Key Lab. of Radar Signal Processing, Xidian Uni. , Xi＇an 710071, China; 2. China Academy of Electronic and Information Technology, Beijing 100041, Chin)
出处
《中国电子科学研究院学报》
北大核心
2018年第1期36-41,共6页
Journal of China Academy of Electronics and Information Technology
基金
海军装备部预研项目
