Parameter Estimation of Multiple Mono-Pulse Radar Signals Intercepted by Nyquist Folding Receiver Using Periodic Chirp Local Oscillator Based on Periodic Fractional Autocorrelation

Abstract

The frequency space of modern radar system has been extended to a wide range. To intercept the modern radar signals with high interception probability, the wideband receiving is of significance to the radar reconnaissance receiver. The Nyquist folding receiver (NYFR) is a novel ultra-wideband receiving architecture, which requires a small amount of equipment. Because the mono-pulse radar signal is widely used in radar systems, the multiple mono-pulse radar signals will be intercepted by the NYFR. The parameter estimation of multiple simultaneous arrival mono-pulse radar signals intercepted by the NYFR using periodic chirp local oscillator is considered. The definition of Periodic fractional autocorrelation (PFA) is proposed. Based on the PFA, a novel fast parameter estimation method is given. The proposed estimation approach can estimate the multiple NYFR outputs under frequency aliasing condition and the computational complexity of the proposed method is low. Simulation results show the effectiveness of the proposed method.