title: A Novel Probabilistic Data Association for Target Tracking in a Cluttered Environment.
abstract: The problem of data association for target tracking in a cluttered environment is discussed. In order to improve the real-time processing and accuracy of target tracking, based on a probabilistic data association algorithm, a novel data association algorithm using distance weighting was proposed, which can enhance the association probability of measurement originated from target, and then using a Kalman filter to estimate the target state more accurately. Thus, the tracking performance of the proposed algorithm when tracking non-maneuvering targets in a densely cluttered environment has improved, and also does better when two targets are parallel to each other, or at a small-angle crossing in a densely cluttered environment. As for maneuvering target issues, usually with an interactive multi-model framework, combined with the improved probabilistic data association method, we propose an improved algorithm using a combined interactive multiple model probabilistic data association algorithm to track a maneuvering target in a densely cluttered environment. Through Monte Carlo simulation, the results show that the proposed algorithm can be more effective and reliable for different scenarios of target tracking in a densely cluttered environment.
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China. chenxiao@mail.nwpu.edu.cn.
authors.forename: Xiao
authors.initials: X
authors.lastname: Chen
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China. liyaan@nwpu.edu.cn.
authors.forename: Yaan
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China. liyuxinglyx@sina.com.
authors.forename: Yuxing
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China. yujing@nwpu.edu.cn.
authors.forename: Jing
authors.initials: J
authors.lastname: Yu
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China. lxhxy2009@163.com.
authors.forename: Xiaohua
authors.initials: X
authors.lastname: Li
keywords: combined interactive multiple model probabilistic data association (C-IMM-PDA); interactive multi-model (IMM); joint probabilistic data association (JPDA); probabilistic data association (PDA)