RGPO干扰下基于改进的IMM-PDAF的机动目标跟踪技术

A Maneuvering Target Tracking Technique Based on Modified IMM-PDAF Under RPGO Jamming

研究了距离波门拖引（RGPO）干扰下杂波环境中机动单目标的跟踪问题，在建立RGPO干扰条件下雷达量测模型的基础上，提出了一种RGPO干扰下基于改进的交互多模型一概率数据关联算法（IMM-PDAF）的目标跟踪技术。该技术联合RGPO鉴别与跟踪一体化。在干扰鉴别上，采用信号似然比预处理、角度χ2检验以及m／n逻辑检验方法。在跟踪算法方面，采用提出的基于量测功率特征的IMM—PDAF算法，同时目标状态更新依据是否存在干扰采用不同的方法。若存在RGPO干扰，则根据RGPO假目标与真目标量测对的特点，采用提出的距离最近选择、角度数据压缩方法合成新量测对目标状态进行更新，若无RGPO干扰，则综合功率和位置特征对所有量测进行加权更新目标状态。仿真结果表明，该技术不仅能有效剔除RGPO干扰对跟踪算法带来的不良影响，而且具有良好的机动目标跟踪性能。

Single maneuvering target tracking problem in clutter environment under the range gate pull of {RGPO） jamming is studied in this paper. The radar measurement model under RGPO jamming is established firstly, and then the target tracking technology under RG- PO jamming based on the improved IMM-PDAF is proposed. This technique combined with RGPO jamming identification and tracking in- tegration. In the jamming identification, the signal likelihood ratio preprocessing, angle Chi square test and m/n logic test method is a- dopted. In tracking algorithm term, the proposed IMM-PDAF algorithm based on the power characteristics of measurements is adopted, and different methods for state update is adopted according to whether it exist a RGPO jamming. If there is a RGPO jamming, the synthe- sis measurement by using proposed methods is used for target state update; If there is no jamming, all the measurements are weighted by power and position features to update the target state. Simulation results show that the proposed technique can not only eliminate the ad- verse effects caused by RGPO jamming, but also has good tracking performance for maneuvering target.