Improved multiple model target tracking algorithm based on particle filter

Abstract

Due to the high computing complexity of interacting multiple model based on particle filter (IMM-PF), the improved multiple model particle filter tracking algorithm based on systematic resampling is proposed in combination with the requirement of air defense system for maneuvering target tracking model. Since the number of particles in this algorithm is not involved in model switch or interaction, this algorithm has reduced filter’s algorithm complexity and improved the real-time performance of target tracking while maintaining the same accuracy with IMM-PF. Therefore, this algorithm is of high practical application value in modern air defense system.