New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar

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概要

• 論文の詳細を見る

• This paper presents a new multi-target data association method for automotive radar which we call the order statistics joint probabilistic data association (OSJPDA). The method is formulated using the association probabilities of the joint probabilistic data association (JPDA) filter and an optimal target-to-measurement data association is accomplished using the decision logic algorithm. Simulation results for heavily cluttered conditions show that the tracking performance of the OSJPDA filter is better than that of the JPDA filter in terms of tracking accuracy by about 18%.

• 社団法人電子情報通信学会の論文
• 2001-08-01

著者

• Lee M‐s

  Information And Communications Univ. Daejeon Kor

• Kim Yong-hoon

  The Authors Are With Kwang-ju Institute Of Science And Technology

• LEE Moon-Sik

  The authors are with Kwang-Ju Institute of Science and Technology

関連論文

• New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar

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