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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。
Aiming at the shortcomings of radar in detecting weak targets, this paper proposes a denoising method using wavelet decomposition and thresholding to improve power SNR based on the actual narrowband model of radar signal and noise. On the one hand, the theoretical formula for improving the signal-to-noise ratio is derived. On the other hand, a large number of simulation experiments are carried out by using the simulated and actual data collected. The consistency between the calculation and the simulation results shows that in the traditional radar signal processing, the use of wavelet transform can improve the signal-to-noise ratio before detection, and then improve the detection range of radar.