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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 52-214
Full Name: Zhongzhi Li
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: No. 24, Xuefu Road, Southwest Airports Economic Development Zone,Department of Network Engineering, Chengdu University of Information Technology, Chengdu, China, 610225
Country: CHINA
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E-mail address: lizz_uestc@163.com
Other E-mails: lizz@cuit.edu.cn
Title of the Paper: A New Data Association Method Based on Reverse Prediction Weighted Neighbor
Authors as they appear in the Paper: Zhongzhi Li, Xuegang Wang, Xuelian Yu
Email addresses of all the authors: lizz_uestc@163.com
Number of paper pages: 12
Abstract: A new data association method is presented for target tracking. The proposed method is formulated using reverse prediction weighted neighbor to calculate probability of candidate measurements from targets. Comparing with NNDA, PDA and JPDA, which are widely applied in single or multiple targets tracking, the new method has a small computational complexity with acceptable miss-tracking probability and does not need priori knowledge such as detection probability and clutter density. The correlation probability between measurements and targets is reflected in the reverse prediction residual norm. Simulation results showed that the proposed method can track targets in a cluttered environment with good performance.
Keywords: Target tracking, Data association, Nearest neighbor data association (NNDA); Probabilistic data association (PDA), Joint probabilistic data association (JPDA), Cluttered environment.
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