Abstract—By synthesizing multiple frequency signals into a wideband signal, the frequency diverse multiple-input-multiple- output (FD-MIMO) radar can obtain higher resolution than ordinary MIMO radar. Furthermore, FD-MIMO radar can obtain higher resolution and better recovery performance by exploiting the sparsity of the targets. For moving targets with unknown velocities, the recovery performance based on compressive sensing (CS) would significantly degrade if the estimation accuracy of velocities is not enough. We propose a new approach of adaptive sparse recovery via velocity estimation (ASR-VE) for multiple moving targets FD-MIMO radar imaging. ASR-VE estimates the scattering coefficients as well as the unknown velocities involved in the sensing matrix in the loop iterations. Numerical simulations are carried out to verify the effectiveness of the proposed method.
Index Terms—MIMO radar imaging, moving targets, sparse recovery, velocity estimation.
He Xuezhi, Liu Bo, and Wang Dongjin are with Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, P. R. China (e-mail: firstname.lastname@example.org).
Cite: Xuezhi He, Bo Liu, and Dongjin Wang, "Sparsity-Driven Frequency Diverse MIMO Radar Imaging for Moving Targets," International Journal of Information and Electronics Engineering vol. 3, no. 4, pp. 409-413, 2013.