Moving Target Localization Using Distributed Dual-Frequency Radars And Sparse Reconstruction

In this paper, we present a sparsity-based approach for target location and velocity estimation using a network of distributed dual-frequency radar units. A single dual frequency radar can only estimate the range and radial velocity component of the moving target. The distributed configuration permits not only target localization in cross range and downrange, but also provides Doppler velocity diversity, which enables the estimation of the horizontal and vertical target velocity components. We develop a linear signal model for the distributed radar network configuration under dual-frequency operation, and perform joint optimization for simultaneously recovering the target location and motion parameters. Supporting simulation results are provided, which validate the effectiveness of the proposed method.