Analysis of Radon-Fourier Transform in clutter background and optimal weight processing

Radon-Fourier Transform (RFT) has been recently introduced as an effective method for long-time coherent integration of moving targets. In this paper, analysis of RFT in clutter background is proposed to prove its capability to separate targets from clutter. Furthermore, the signal-to-clutter ratio (SCR) Improvement Factor of RFT is introduced and calculated. Then, according to the SCR Improvement Factor, an Optimal Weight Processing is proposed in this paper, which can achieve the optimal SCR Improvement Factor. Finally, some numerical simulation is provided to demonstrate the results and conclusions.