Research On The Maneuvering Target Tracking Algorithm Based On DSP

Maneuvering target tracking is widely applied in military and civilian field, which has been attract more and more attentions. With the maneuverability of target is more and more strong, tracking filter often can’t match the maneuverability of targe. in order to ensure that the radar track targrt stably and accurately, how to design an excellent maneuvering target tracking algorithm has become a hot research topic which has an important theoretical and use value.This thesis discusses some basic maneuvering target tracking algorithms, including Kalman Filter (KF), Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) and Particle Filter (PF), through simulating and analing the performance of these algorithms, studing the drawback in maneuvering target tracking, laying the groundwork for subsequent research.The core of UKF algorithm is to solve the strong nonlinear problem by unscented transformation, the multiple time-varying fading factor can resolve the problem that UKF algorithm will lose the ability of track when the system is stable, on this basis, this thesis amends the multiple time-varying fading factor, and raise an impeoved with multiple time-varying fading factor UKF. The core of PF algorithm is to obtain a group of random samples with relative weights via importance sampling, and then to obtain the optimal state valuation through re-sampling, genetic algorithm can effectively solve particle degeneracy that caused by resampling algorithm, on this basis, this thesis raises selection and mutation operations in the genetic algorithm, and propose an impeoved genetic resampling particle filter algorithm.Multiple model algorithm is an adaptive maneuvering target tracking algorithm. using time-varying model matchs the motion of target in the variable structure multiple model algorithm, which can effectively solve the problem of fixed structure, this thesis compares the performance of two algorithms by simulation analysis. directed graph switching algorithm is an improved variable structure algorithm, this thesis simplis directed graph switching algorithm, and combine with the improved with multiple time-varying fading factor UKF algorithm, proposing a simplified directed graph switching multiple model algorithm based on the improved UKF.This thesis uses SDZ616as hardware platform, implementing the simplified directed graph switching multiple model algorithm based on mixed UKF on DSP platform, according to the features of DSP, optimizing the code, testing the efficiency of DSP program, ultimately, implementing an effective and reliable embedded software.