海军航空工程学院学报2018，Vol.33Issue(6)：531-538,572,9.DOI:10.7682/j.issn.1673-1522.2018.06.007
改进的基于隐马尔可夫模型的自适应IMM算法
Improved Adaptive IMM Algorithm Based on Hidden Markov Model
摘要
Abstract
Aiming at the problem that the Markov transition probability matrix of interactive multiple model algorithm (IMM) was fixed and invariant in maneuvering target tracking, based on the existing adaptive IMM algorithm based on hidden Markov model (HMM) , the length of hidden Markov chain and the number of iterations of Baum-Welch algorithm were followed by the algorithm. The influence of tracking performance was deeply studied and analyzed, and the basis for selecting these two parameters was further clarified. Aiming at the regression of peak error increasing during target maneuver conversion, two correction methods were given, and an improved adaptive IMM algorithm based on HMM was proposed. Finally, the influence of the parameters and correction methods of the algorithm on the tracking performance was analyzed by simulation, and compared with the traditional IMM algorithm, the effectiveness of the proposed algorithm was proved.关键词
机动目标跟踪/交互多模型/隐马尔科夫模型/Baum-Welch算法/马尔可夫转移矩阵Key words
maneuvering target tracking/interactive multiple model (IMM) /hidden Markov model/Baum-Welch algorithm/Markov transfer matrix分类
信息技术与安全科学引用本文复制引用
张杨..改进的基于隐马尔可夫模型的自适应IMM算法[J].海军航空工程学院学报,2018,33(6):531-538,572,9.
