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武龙, 许蕴山, 夏海宝, 邓有为, 张肖强. 基于动态联盟的多传感器协同探测与跟踪[J]. 红外技术, 2017, 39(11): 996-1000.
引用本文: 武龙, 许蕴山, 夏海宝, 邓有为, 张肖强. 基于动态联盟的多传感器协同探测与跟踪[J]. 红外技术, 2017, 39(11): 996-1000.
shu
WU Long, XU Yunshan, XIA Haibao, DENG Youwei, ZHANG Xiaoqiang. Multi-sensor Cooperative Detection and Tracking Based on Dynamic Coalition[J]. Infrared Technology , 2017, 39(11): 996-1000.
Citation: WU Long, XU Yunshan, XIA Haibao, DENG Youwei, ZHANG Xiaoqiang. Multi-sensor Cooperative Detection and Tracking Based on Dynamic Coalition[J]. Infrared Technology , 2017, 39(11): 996-1000.
shu

基于动态联盟的多传感器协同探测与跟踪

Multi-sensor Cooperative Detection and Tracking Based on Dynamic Coalition

    摘要
  • 摘要: 在空战场协同攻击中,常涉及到多传感器协同探测及跟踪,由于目标的出现与消失具有随机性,所以在协同中既要考虑已有目标的跟踪,更要重视新生目标的及时探测和捕获.为此,建立了新生目标的探测概率模型,并阐述了不同传感器联盟对新生目标的探测能力,依据后验克拉美-罗下界(Posterior Cramer-Rao Lower Bound,PCRLB)对已跟踪目标组建传感器联盟,利用二值粒子群优化(Binary Particle Swarm Optimization,BPSO)算法及PCRLB研究基于动态联盟的多传感器协同探测与跟踪方法.仿真表明,该方法跟踪精度较高,误差小且稳定.

     

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