现代防御技术2011，Vol.39Issue(6)：157-162,6.DOI:10.3969/j.issn.1009-086x.2011.06.031
一种稳健的多传感器目标跟踪算法
A Robust Tracking Algorithm for Multiple-Sensor
摘要
Abstract
An adaptive tracking algorithm is presented based on radar and double wave band infrared seeker. The state estimation model with tree-structure radar and infrared seeker fusion algorithm is constructed using the infrared irradiation and the Doppler information of target. A new adaptive fusion algorithm for two different infrared seekers based on square root unscented kalman filters is presented, the result of which is fused with the measurement of an active radar sensor sequentially to estimate the final target state using adaptive interacting multiple model method. The exact model matching method is studied and optimization of the final fusion is obtained by local optimization. Simulation results show that the fusion algorithm can improve tracking precision effectively so it is robust and adaptive.关键词
双波段/多传感器融合/平方根无迹卡尔曼滤波/自适应交互式多模型Key words
double wave band/ multiple-sensor fusion/ square root unscented Kalman filter/ adaptive interacting multiple model分类
信息技术与安全科学引用本文复制引用
王燊燊,冯金富,王方年,黄峰,张佳强..一种稳健的多传感器目标跟踪算法[J].现代防御技术,2011,39(6):157-162,6.基金项目
国家自然科学基金(60772162) （60772162）
国家"863"高技术研究发展计划(2010A×××4C) （2010A×××4C）
