Rough fuzzy joint probabilistic association for tracking multiple targets in the presence of ECM

作者：

Highlights：

• Rough-Fuzzy based data association algorithm is proposed.

• Data association matrix in JPDA algorithm is optimized with Rough-Fuzzy method.

• Four different case studies are considered for validating this novel technique.

• RF-JPDA is better in terms of computational complexity.

摘要

•Rough-Fuzzy based data association algorithm is proposed.•Data association matrix in JPDA algorithm is optimized with Rough-Fuzzy method.•Four different case studies are considered for validating this novel technique.•RF-JPDA is better in terms of computational complexity.

论文关键词：Clutter,Clustering,Electronic counter measures,Radar detection,Rough set

论文评审过程：Received 20 July 2017, Revised 12 February 2018, Accepted 31 March 2018, Available online 3 April 2018, Version of Record 13 April 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.067