抄録
We consider the method of evaluating the detection performance of a single pulse monostatic radar for a fluctuating target in compound-Gaussian clutter plus noise background. The system uses a coded pulse compression waveform as its transmitting signal and the linear minimum mean square error (LMMSE) based reiterated filtering, also known as the adaptive pulse compression (APC). We study the theoretical statistical characteristics of the amplitude of the APC estimation for infinite iterations in this scenario. Based on this theory, we derive both the theoretical probability of false alarm and the probability of detection for the ‘ideal constant false alarm rate (CFAR)’ detector that uses amplitude of the APC estimation as the test statistics. Finaly, we verify the validity of the theoretical detection performance calculations with Monte Carlo simulations. The simulations include three different compound-Gaussian clutter models and all theoretical results well fit the simulated ones.
