基于最小二乘遭遇预测模型的欺骗干扰下稳定跟踪方法

Stable Tracking Method Under Deception Jamming Based on Least Squares Encounter Prediction Model

雷达受到距离波门拖引干扰时,在时域上干扰信号会掩盖目标真实回波,使目标航迹跟踪到干扰信号上,随后干扰信号通过控制转发时延,逐步将跟踪波门诱骗,导致航迹偏离真实目标,随后丢失。文中提出一种基于最小二乘遭遇预测模型(LS-EPM)的欺骗干扰下稳定跟踪方法。首先通过干扰感知,在目标航迹附近建立次级航迹,再基于LS-EPM对次级航迹与目标航迹的遭遇时刻进行预测,对遭遇因子进行计算,当遭遇因子数值较高时,判定为进入干扰抵近区,进行抗诱偏处理。仿真和实测数据处理结果表明,该方法能够提高雷达在距离波门拖引干扰下的航迹跟踪正确率。

When the radar is jammed by the range gate pull off(RGPO), the jamming signal in the time domain will cover up the real echo of the target, so that the target track is tracked to the jamming signal, and then the jamming signal will gradually deceive the tracking gate by controlling the forwarding delay, so the track deviates from the true target and is subsequently lost. In this paper a stable tracking method under deception jamming based on the least squares encounter prediction model(LS-EPM) is proposed. Firstly, through jamming perception, secondary tracks are established near the target track. Secondly, the encounter time between the secondary track and the targe track is predicted, and the encounter factor is calculated. When the value of the encounter factor is high, it is determined to enter the interference approach area, and anti-deception processing is performed. The simulation and measured data processing results show that the method can improve the accuracy rate of radar tracking under range gate pull off.