Techniques for Aerial Target Recognition Based on Belief Rule Base and Evidential Reasoning

Abstract

Aiming at the multi-source and uncertainty of target information in a complicated combat field, this paper proposes an aerial target recognition method based on the Belief Rule Base (BRB) and Evidential Reasoning (ER). Firstly, a new aerial target recognition model based on BRB-ER for multisource information fusion is presented. Then, a multi-parameter optimization model is established to optimize the initial parameters for improving the recognition precision and the Local Particle Swarm Optimization (LPSO) is tested as the optimization engine to solve the optimization model. Finally, a case study is examined to validate the efficiency of the proposed approach. The result shows that it can recognize the aerial target precisely.