鱼雷技术2011，Vol.19Issue(5)：344-348,5.
基于分数阶Fourier变换累积量的目标检测算法
Target Detection Algorithm Based on Fractional Fourier Transform Cumulant
胡光波 1何席兵 1甘新年1
作者信息
- 1. 中国人民解放军91640部队,广东湛江,524064
- 折叠
摘要
Abstract
Conventional signal detection and noise separation methods are limited in time domain or frequency domain, and satisfactory detection result is hard to be obtained in time-frequency domain if intensive time-frequency coupling occurs between signal and background noise. Therefore, a fractional Fourier transform(FrFT) cumulant algorithm is presented for solving this problem. The algorithm can get rid of the time-frequency coupling and reduce the noise. Perfect detection result would be achieved in fractional Fourier domain if a suitable rotation angle is selected to match with the processing signal. Simulation results of moving target detection show that the detection performance of the FrFT cumulant algorithm is better than that of the FrFT and the fourth-order cumulant method.关键词
分数阶Fourier变换/高阶累积量/信号检测/背景噪声Key words
fractional Fourier transform (FrFT)/ high-order cumulant/ signal detection/ background noise分类
军事科技引用本文复制引用
胡光波,何席兵,甘新年..基于分数阶Fourier变换累积量的目标检测算法[J].鱼雷技术,2011,19(5):344-348,5.
