两级自适应谱线增强算法在弱信号检测中的性能分析

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英文篇名：Performance Analysis of Two Level Adaptive Line Enhancement Algorithm in Weak Signal Detection 作者：杨婧 ; 程乃平 ; 倪淑燕 英文作者：YANG Jing;CHENG Naiping;NI Shuyan;Department of Electronic and Optical Engineering,Space Engineering University; 关键词：自适应谱线增强 ; 自适应滤波 ; 信号检测 ; 功率谱密度 英文关键词：adaptive line enhancement;;adaptive filtering;;signal detection;;power spectrum density 中文刊名：兵器装备工程学报 英文刊名：Journal of Ordnance Equipment Engineering 机构：航天工程大学电子与光学工程系; 出版日期：2019-03-25 出版单位：兵器装备工程学报 年：2019 期：03 基金：XX技术科研项目 语种：中文; 页：161-166 页数：6 CN：50-1213/TJ ISSN：2096-2304 分类号：E925.4;TN911.23

摘要

提出了基于两级自适应滤波的谱线增强算法,一方面设计了串联两级自适应滤波,更好地达到滤除噪声信号、恢复有用信号,更加准确地检测出信号;另一方面改进了自适应滤波器权系数更新公式,减小自适应时间,提高收敛速度。仿真分析对比两种算法,并针对强噪声背景下的潜艇信号弱的问题,分析了3种检测方法,通过比较信号的功率谱特性,改进的自适应谱线增强算法可以更好地抑制噪声,提高信噪比,有利于潜艇弱信号检测。
        A spectral line enhancement algorithm based on two-stage adaptive filtering was proposed. On the one hand,the algorithm designed two-stage adaptive filter in series,which could filter out the noise signal and restored the useful signal better,so as to detected the signal more accurately; on the other hand,it improved the update formula of the weight coefficient of the adaptive filter,reduced the adaptive time and improved the convergence speed. The performance of the two algorithms is compared with simulation analysis. Aiming at the problem of weak signal of submarine under strong noise background,three detection methods were simulated and analyzed. By comparing the power spectrum characteristics of the signal,the improved adaptive line enhancement algorithm can better suppress noise,improve signal-tonoise ratio,and is conducive to the detection of weak signal of submarine.

引文

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