Analysis of Radon-Fourier Transform in Clutter Background and Optimal Weight Processing

摘要：

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.

关键词： Radon-Fourier Transform long-time coherent integration SCR Improvement Factor Optimal Weight Processing.

作者: Jun-Jiang Lu Jun Tang Ning Li Jin-Song Du

作者单位: Department of Electronic Engineering, Tsinghua University, Beijing 100084, P. R. China; Key Laboratory of LiaoNing Province on Radar System&Application

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 467-471

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）