基于复合滤波的弹箭目标特征点提取方法
Extraction Method for the Characteristic Points of Missile Targets Based on Compound Filter
刘洋 1陈春江 1宫志华 1吴家健 1胡永1
作者信息
- 1. 解放军63861部队,吉林 白城 137001
- 折叠
摘要
为解决低信噪比条件下,小波变换难以提取雷达弹箭目标特征点时刻的难题,提出一种包含3层滤波结构的复合滤波方法.通过STFT滤波、巴特沃斯带通滤波和小波变换,滤除噪声和弹箭主目标信号,大幅提升低信噪比条件下特征点时刻在小波重构波形的可检测度,扩展了小波变换在雷达弹箭目标特征点提取的应用范围.通过实例应用和数据比对,验证了该方法的有效性.
Abstract
In order to solve the problem that wavelet transform is difficult to extract the character-istic points time of radar missile targets under the condition of low signal-to-noise ratio,a composite filter method including three-layer filter structure is proposed.Through STFT filter,Butterworth band-pass filter and wavelet transform,the noise and main target signals of missiles are filtered,and the de-tectability of the characteristic points time in the wavelet reconstruction waveform under the condition of low signal-to-noise ratio is greatly improved,which extends the application range of wavelet trans-form in radar missile target characteristic point extraction.The effectiveness of this method is verified by an example application and data comparison.
关键词
雷达测量/特征点提取/复合滤波/小波变换Key words
radar measurement/extraction of characteristic points/compound filter/wavelet trans-form引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据