基于空气动力学模型含雷达散射截面观测的联合目标跟踪识别

doi:10.3969/j.issn.1000-1093.2014.03.005

兵工学报 ›› 2014, Vol. 35 ›› Issue (3): 318-325.doi: 10.3969/j.issn.1000-1093.2014.03.005

基于空气动力学模型含雷达散射截面观测的联合目标跟踪识别

郭鹏¹，白亮²，武梦洁²，蒋宏¹

(1.北京航空航天大学飞行器控制一体化技术重点实验室, 北京 100191；2.洛阳电光设备研究所火力控制技术国防科技重点实验室河南洛阳 471009)

收稿日期:2013-05-02 修回日期:2013-05-02 上线日期:2014-04-28
作者简介:郭鹏(1987—)，男，硕士研究生
基金资助:
航空科学基金项目(20125151028)

Joint Target Tracking and Classification Based on Aerodynamic Model and RCS Observation

GUO Peng₁， BAI Liang₂， WU Meng-jie₂， JIANG Hong₁

(1.Science and Technology on Aircraft Control Laboratory，Beihang University，Beijing 100191， China；2.Fire Control Technology Laboratory of National Defense， Luoyang Institude of Electro-opticaldevices,

Received:2013-05-02 Revised:2013-05-02 Online:2014-04-28

摘要/Abstract

摘要： 以地基被动警戒雷达为应用背景，主要监视低空突防来袭目标，利用地面上多个商业广播发射的无线电调频（FM）信号，提出基于空气动力学模型含雷达散射截面（RCS）观测的联合目标跟踪识别技术。该技术使用空气动力学模型来描述目标的平动和转动，并将分类器输出的具体参数传递给跟踪器,实现基于动力学模型的跟踪；同时将RCS包括在观测中，它既可提供主要的分类特征，又可根据跟踪器的输出来预测RCS值。跟踪与分类被紧密结合，充分发挥联合跟踪识别的优势，有效提高目标的跟踪性能和识别概率。运用FEKO电磁仿真软件，实时获得目标的RCS观测值，通过粒子滤波实现联合跟踪识别，搭建了基于FM信号的被动雷达目标跟踪识别仿真平台。仿真结果表明，交互式多模型正则化粒子滤波的跟踪精度和识别概率都要优于交互式多模型粒子滤波。

关键词: 雷达工程, 空气动力学模型, 雷达散射截面, 联合跟踪识别, FEKO电磁仿真软件, 粒子滤波

Abstract: An effective joint target tracking and classification technology, which uses the radio frequency modulation (FM) signals transmitted by the commercial broadcast stations on ground, based on the aerodynamic model and RCS observation is proposed for the ground-based passive warning radars for monitoring the low altitude penetration incoming targets. The aerodynamic model is used to describe the translation and rotation of target, and the specific parameters of a particular type of aircraft are transferred to the tracker to realize the aerodynamic model-based tracking; at the same time, the radar cross section (RCS) is included in the observation to provide the main classification featuers, and the outputs of the tracker are used to predict the RCS value. Therefore, tracking and classification are coupled tightly to give full play to the advantage of joint tracking and classification, effectively improving the tracking performance and classification probability. In the implementation of this technology, the electromagnetic simulation software FEKO is applied to obtain the target’s real-time RCS observation; this joint tracking and classification is realized by particle filtering. A simulation platform for the FM signal-based target tracking and classification by passive radar is built. The simulation results show that the interacting multiple model regularized particle filter works better than the interacting multiple model particle filter in tracking accuracy and classification probability.

Key words: radar engineering, aerodynamic model, radar cross section, joint tracking and classification, FEKO electromagnetic simulation software, particle filtering

中图分类号:

TN957

郭鹏，白亮，武梦洁，蒋宏. 基于空气动力学模型含雷达散射截面观测的联合目标跟踪识别[J]. 兵工学报, 2014, 35(3): 318-325.

GUO Peng₁， BAI Liang₂， WU Meng-jie₂， JIANG Hong₁. Joint Target Tracking and Classification Based on Aerodynamic Model and RCS Observation[J]. Acta Armamentarii, 2014, 35(3): 318-325.

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基于空气动力学模型含雷达散射截面观测的联合目标跟踪识别

Joint Target Tracking and Classification Based on Aerodynamic Model and RCS Observation

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