Ideas for Radar Data Denoising and Fusion Based on Image Processing Techniques

We propose novel denoising and fusion schemes for radar data of distributed targets. To utilize established image processing techniques, we consider the denoising and fusion as image reconstruction in the Cartesian coordinates from the noisy data in the polar coordinates. We reconstruct the target image as the solution to a minimization problem with a regularization term. Denoising simulation in an attenuation correction scenario demonstrates the proposed scheme with the total variation regularization greatly reduces the noise.