雷达学报Issue(3)：238-245,8.DOI:10.3724/SP.J.1300.2012.20043
MM-CBMeMBer滤波器跟踪多机动目标
Multiple Maneuvering Targets Tracking Using MM-CBMeMBer Filter
摘要
Abstract
The existing multiple model hypothesis density filter can estimate the number and state of maneuvering targets at the same time. Yet its Sequential Monte Carlo (SMC) implementation involves clustering algorithm, which is unstable and time consuming, and may result in tracking target loss. To solve the problem, this paper proposes a Multiple Model (MM) Cardinality Balanced Multiple target Multi-Bernoulli (CBMeMBer) filter. When the clutter number of per-scan is less than 20 and detection probability is higher than 0.9, this algorithm transmits the posterior density of maneuvering targets through a set of time-varying Bernoulli parameters, according to which, the targets state can be computed by simple operations, thus effectively avoids the clustering algorithm. Simulation results shows that compared with multiple model hypothesis density filter, the algorithm proposed decreased the OSPA distance which chooses to estimate tracking errors.关键词
Multiple maneuvering target tracking/Probability Hypothesis Density (PHD)/Cardinality Balanced Multiple target Multiple Bernoulli (CBMeMBer)/Multiple Model (MM)/Sequential Monte Carlo (SMC)Key words
Multiple maneuvering target tracking/Probability Hypothesis Density (PHD)/Cardinality Balanced Multiple target Multiple Bernoulli (CBMeMBer)/Multiple Model (MM)/Sequential Monte Carlo (SMC)分类
信息技术与安全科学引用本文复制引用
熊波,甘露..MM-CBMeMBer滤波器跟踪多机动目标[J].雷达学报,2012,(3):238-245,8.基金项目
中国工程物理研究院科学基金(2010A040317)和中央高校基本科研业务费专项资金(ZYGX2010J027)资助课题 （2010A040317）
