A Joint Detection and State Estimation Algorithm for Pulse Doppler Radar
Wenhao Dong, Jingyi Wang, Zhiyong Song, Qiang Fu · 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) · 2021
In order to improve the detection sensitivity of pulse Doppler (PD) radar, a joint detection and state estimation algorithm based on random finite set is proposed. In the framework of formal Bernoulli filter, the state model and observation model of the algorithm are designed at the range-Doppler (RD) echo signal level when there is only a single target, which makes full use of the dynamic difference of phase and amplitude change between target and background. Since the state vector can be divided into linear and non-linear parts, Rao-Blackwellized particle filter (RB-PF) is used to realize the prediction and update of the state vector. The simulation results show that the algorithm can effectively improve the state estimation accuracy and detection sensitivity.