The joint probabilistic data association (JPDA) filter has a very good tracking performance in dense targets and heavy clutter environments. However, the JPDA filter also has a huge computer load and tends to combine neighboring tracks. In this paper, an improved JPDA algorithm is presented. The main feature of our method is improving the performance of the JPDA algorithm by improving the performance of the tracking gate. The effectiveness of this method is assessed by mathematical analysis.
Improved joint probabilistic data association algorithm
2002-01-01
161201 byte
Conference paper
Electronic Resource
English
S13 Improved Joint Probabilistic Data Association Algorithm
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