FPGA based radar image enhanced: A robust evolutionary controlled filter approach

In this work, we implemented the robust evolutionary controlled (REC) filter in a FPGA platform. Due unknown a priori statistical information, we replace the Optimal Wiener Filter by its rough approximation referred to as REC filter. The evolution of the filter is controlled by changing/choosing the vector of the controlled parameters γ. Such a control provides additional degrees of freedom of the filter. We report and discuss some implementation results in the Xilinx Virtex-II Pro XC2VP30 FPGA related to enhancement of the uncertain real-world RS imagery, these are indicative of the significantly increased performance efficiency gained with the developed approach.

I. Introduction

Increasing capability of co-registered multi-sensor remote sensing (RS) imagery has spurred development of various system/method techniques for enhancing the RS images. The images are enhanced as required for end-user-oriented environmental resource management. These techniques are aimed to produce the reconstructed/enhanced images with improved performances of information content, resolution and accuracy [1]–[4].