Joint Detection and DOA Estimation Algorithm for Monopulse Radar Seeker

Abstract

In the terminal guidance phase of radar seeker, low signal to noise ratio (SNR) leads to the deterioration of target detection and positioning performance. Therefore, a joint detection and DOA (Direction of Arrival) estimation algorithm based on random finite set is proposed. In the framework of single target Bernoulli filter, the algorithm constructs the target observation equation for the data after low threshold decision based on the point target spread function, establishes the state variable description in the antenna and line of sight hybrid coordinate system, solves the state vector differential equation and discretizes it to obtain the discrete-time difference equation. The state transition model is obtained through state error analysis, then the particle recursion is used to realize joint detection and state estimation. Simulation results show that the algorithm is effective. Compared with the traditional DBT (Detect before Track) method, the algorithm can improve the detection performance and DOA estimation accuracy at low SNR.

Keywords

• |monopulse radar|low snr|doa estimation|particle realization|test performance|radar seeker|anti-stealth