Soft and evolutionary computation based data association approaches for tracking multiple targets in the presence of ECM

作者：

Highlights：

• Two novel data association techniques (Fuzzy-GA and Fuzzy-PSO) are proposed.

• Data association matrix in JPDA algorithm is optimized with these methods.

• Four different case studies are considered for validating these novel techniques.

• Fuzzy-GA approach shows improved performance in average RMSE values.

摘要

•Two novel data association techniques (Fuzzy-GA and Fuzzy-PSO) are proposed.•Data association matrix in JPDA algorithm is optimized with these methods.•Four different case studies are considered for validating these novel techniques.•Fuzzy-GA approach shows improved performance in average RMSE values.

论文关键词：Clutter,Data association,Electronic countermeasures,Root mean square error,Target tracking

论文评审过程：Received 3 October 2016, Revised 30 January 2017, Accepted 31 January 2017, Available online 31 January 2017, Version of Record 10 February 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.059