电讯技术2026，Vol.66Issue(3)：465-472,8.DOI:10.20079/j.issn.1001-893x.241126001
基于自适应可调Q因子小波变换的目标检测改进算法
Improved Target Detection Algorithm Based on Adaptive Tunable Q-factor Wavelet Transform
摘要
Abstract
For the difficulty of target detection in the process of radar sea detection,an improved target detection algorithm based on adaptive tunable Q-factor wavelet transform(A-TQWT)is proposed.Firstly,the adaptive parameters of the radar echo data are calculated,and the obtained parameters are used to perform the TQWT on the echo,and the wavelet coefficients are sparsely optimized.Secondly,an energy-kurtosis feature(EKF)is proposed to distinguish the energy distribution characteristics of the wavelet coefficients corresponding to the target and sea clutter,and the EKF value of each wavelet coefficient is calculated.Finally,a threshold calculation method is proposed to distinguish the EKF value of the target and the sea clutter,and the wavelet coefficients corresponding to the target EKF value are extracted to reconstruct the target.Experiments on the measured data show that compared with the existing sea clutter suppression algorithm based on the TQWT,the proposed algorithm can still achieve high detection performance at the signal-to-clutter ratio of-16 dB to-10 dB,and the detection probability reaches 1 at-10 dB.关键词
雷达信号处理/海面目标检测/特征提取/自适应可调Q因子小波变换(A-TQWT)Key words
radar signal processing/sea surface target detection/feature extraction/adaptive tunable Q-factor wavelet transform(A-TQWT)分类
信息技术与安全科学引用本文复制引用
连子鸣,尚尚,李允珺,徐环..基于自适应可调Q因子小波变换的目标检测改进算法[J].电讯技术,2026,66(3):465-472,8.基金项目
国家自然科学基金资助项目(61801196) （61801196）
