四川大学学报（自然科学版）2012，Vol.49Issue(3)：577-581,5.DOI:10.3969/j.issn.0490-6756.2012.03.018
一种基于模型概率修正的IMM目标跟踪算法
An IMM maneuvering target tracking algorithm based on amended model probability
摘要
Abstract
A new maneuvering targets tracking algorithm FIMM is presented based on the IMM algorithm. The algorithm smooth the updated probaility of the IMM algorithm by the median filter,and then use the fuzzy inference system for real — time amendment, the result of which is as the final output weights. The FIMM algorithm increases the probability of a useful model, decreases the compe-tition between models, and improves the tracking accuracy. Simulation results show that the FIMM algorithm proposed in this article significantly inproves the tracking performance of IMM algorithm.关键词
机动目标跟踪/IMM算法/中值滤波/模糊推理系统/FIMM算法Key words
maneuvering target tracking, IMM algorithm, median filtering, fuzzy inference system, FIMM algorithm分类
信息技术与安全科学引用本文复制引用
周科,朱敏,蒲柳..一种基于模型概率修正的IMM目标跟踪算法[J].四川大学学报（自然科学版）,2012,49(3):577-581,5.基金项目
国家自然科学基金(60572175) （60572175）
