西安电子科技大学学报（自然科学版）2017，Vol.44Issue(1)：59-64,6.DOI:10.3969/j.issn.1001-2400.2017.01.011
海杂波 AR 谱扩展分形特性及微弱目标检测方法
Extended f ractal properties of the AR spectrum and its application in weak target detection in sea clutter background
摘要
Abstract
This paper mainly studies the extended fractal properties of the power spectrum of the sea clutter . To overcome the deficiencies of Fourier transform analysis , the power spectrum of the sea clutter is obtained by autoregressive( AR) spectrum estimation . The AR model is a linear predictive model , which estimates the power spectrum of the sea clutter from its autocorrelation matrix and has a higher frequency resolution than Fourier analysis . This paper concentrates on analyzing the extended fractal property of the power spectrum based on AR spectral estimation and its application to weak target detection . Firstly , fractional Brownian motion ( FBM ) is taken as an example to prove the self‐similar property of the power spectrum . Then , the real measured X‐band data is used to analyze the multi‐scale Hurst exponent of the AR spectrum of the sea clutter and its optimized scale interval . Finally , a novel detection method based on the multi‐scale Hurst exponent of the AR spectrum is proposed . The results show that the proposed method is effective for weak target detection in sea clutter background . Compared to the existing extended fractal method and the traditional CFAR method , the proposed method has a better detection performance in the low SCR condition .关键词
目标检测/海杂波/分形/扩展分形/自回归谱估计Key words
target detection/sea clutter/fractal/extended Fractal/AR spectral estimation分类
信息技术与安全科学引用本文复制引用
范一飞,罗丰,李明,胡冲,陈帅霖..海杂波 AR 谱扩展分形特性及微弱目标检测方法[J].西安电子科技大学学报（自然科学版）,2017,44(1):59-64,6.基金项目
国家重大科学仪器设备开发专项基金资助项目 （）
