The arm detection based on Rao test method

Firstly, aim at the different radar echo characteristic of anti-radar missile (ARM) and its aircraft, a correlative canceller is proposed to restrain the aircraft signal through estimating its Doppler frequency. Then based on the assumption of autoregressive (AR) process noise, a detection algorithm is derived to implement the ARM target detection through Rao test. Simulation experiments show that the correlative canceller can restrain aircraft signal and the ARM signal is lossless; the Rao test method is simple and realizable, however, it almost has the same performance as that of generalized likelihood ratio test (GLRT). Lastly, the boundary of error rate for choosing reference signal is obtained through simulation.