Qun Zhang / Institute of Telecommunication Engineering, AFEU, China
Pingfang Zhang / Troop of No. 93498, China
Kai Wang / Xijing University, China
A near-field radar coincidence imaging (NFRCI) method is proposed in this paper, which can work in forward-looking mode and also achieve fast imaging in missile-borne radar imaging system. Using a uniform circular array (UCA) as the transmitting antenna of missile-borne radar, every element of the UCA transmits random phase modulation (RPM) signals. Based on sparse parametric model and sparse Bayesian learning (SBL) algorithm, the image of NFRCI is obtained. Simulations are presented to validate the effectiveness of the proposed method.