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杂波下强机动目标跟踪自适应数据关联算法
引用本文:陶曌杨,汪圣利. 杂波下强机动目标跟踪自适应数据关联算法[J]. 自动化技术与应用, 2011, 30(1): 37-42
作者姓名:陶曌杨  汪圣利
作者单位:南京电子技术研究所,江苏,南京,210000
摘    要:杂波下的机动目标跟踪的综合概率数据关联(IPDA)算法是在概率数据关联(PDA)算法的思想基础上引入目标存在及可观测概率所形成的.本文进一步通过引入自适应调整因子,提出了针对强机动目标跟踪的自适应IPDA算法(CIPDA),并通过仿真论证,与传统的IPDA相比,CIPDA提高了对强机动目标跟踪的稳定性和精确度.

关 键 词:概率数据关联  强机动  自适应  杂波环境  目标跟踪

An Adaptive Data Association Algorithm for Strong Target Tracking in Clutter
TAO Zhao-yang,WANG Sheng-li. An Adaptive Data Association Algorithm for Strong Target Tracking in Clutter[J]. Techniques of Automation and Applications, 2011, 30(1): 37-42
Authors:TAO Zhao-yang  WANG Sheng-li
Affiliation:TAO Zhao-yang,WANG Sheng-li(Nanjing Electronic Technology Research Institute,Nanjing 210000 China)
Abstract:Integrated probabilistic data association(IPDA) algorithm which is simular to probabilistic data association(PDA) provides recursive formulas for both data association and track quality(probability of track existence).This paper presents an adaptive complete IPDA algorithm which is particularly used for tracking strong moving targets in clutter environment.The simulation results indicate that compared with PDA,this algorithm can improve the tracking stability and accuracy.
Keywords:probabilistic data association  strong moving target  adaptive  clutter  tracking  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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