摘要
针对雷达在检测弱目标能力的不足,基于雷达信号与噪声的实际窄带模型,提出运用小波分解加阈值处理的去噪方法改善功率信噪比。一方面推导出了信噪比改善的理论计算公式,另一方面采用模拟和实际采集的数据进行了大量的仿真实验。计算和仿真结果的一致性表明:在传统的雷达信号处理中,运用小波变换可提高检测前信号噪声比,进而提高雷达的探测距离。
The narrow band model of radar signals plus noise was used to develop an approach to improve the signal to noise ratio (SNR) with denoising by wavelet decomposition and threshold processing to improve radar target detection. The theoretical SNR improvement and various simulations with both analog and real data show that the predetection SNR can be improved by using wavelet transforms in classical radar signal processing to increase the radar detection range.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第3期422-424,共3页
Journal of Tsinghua University(Science and Technology)
关键词
小波变换
信噪比改善
去噪
wavelet transform
signal to noise ratio improvement
denoising
