Decoupled Imaging for Coherent FMCWMIMO Radar with Compressive Sensing

Abstract

We investigate a framework for coherent multiple input multiple output (MIMO) radar imaging using frequency modulated continuous wave (FMCW). The structure of the FMCW signal decouples the joint estimation problem into range and azimuth imaging. Decoupling the problem reduces the computational complexity of the approach. The proposed method is generalized to near-field scenarios in case the point spread function of the output signal can be approximated by the product of the transmit and receiver antenna point spread functions. The range imaging problem is solved with the help of a Fast-Fourier-Transform (FFT) of the beat signal. In order to avoid forward-backward spacial smoothing techniques we rely on a compressive sensing-based direction of arrival estimation. The performance of the proposed approach is tested and evaluated using simulations. Furthermore we investigate the computational complexity of the framework.