A Particle Filter Track-Before-Detect Algorithm Based on Two-Stage Measurement Update
Chen Yanju · Chuangan jishu xuebao · 2015
A particle filter track-before-detect algorithm based on two-stage measurement update was proposed,to deal with detection and tracking a dim target in low signal-to-noise ratio. After updating of the posterior state in particle filter,by using Kalman filter,a second-stage measurement update is executed. This improves the degree of using of particles-contained information. Simulation results show that the new algorithm obtains better detection and tracking performance.