An Efficient Radon Fourier Transform-Based Coherent Integration Method for Target Detection

Abstract

The Radon Fourier transform (RFT) based coherent integration is an important target detection method. However, the computational cost of parameter searching and blind-speed sidelobe (BSSL) remain main challenges in actual RFT applications. In this letter, we propose a Whale optimization algorithm based RFT (WOA-RFT) to accelerate the parameter searching process and improve BSSL suppression performance. Firstly, the discrete RFT signal model is derived; WOA-RFT is then proposed to speed up the RFT and suppress BSSL. The simulation results demonstrate that our proposed method has better performance in terms of parameter estimation accuracy, BSSL suppression capability, and computational cost, compared to some existing methods.