Radar Echo Detection Using Wavelet Denoising

This document presents a radar echo detection approach based on wavelet denoising, which accurately identifies the presence and location of radar echoes. Wavelet denoising represents an advanced signal processing technique that effectively reduces noise interference, thereby improving radar echo detection performance. Implementation typically involves decomposing signals using wavelet transforms (e.g., Daubechies or Symlets wavelets), applying thresholding methods (hard or soft thresholding) to wavelet coefficients to eliminate noise components, and reconstructing clean signals from processed coefficients. Through wavelet denoising applications, radar systems can more reliably determine echo positions with enhanced precision in target detection and tracking operations. Consequently, wavelet-based radar echo detection holds significant promise for radar applications and plays a crucial role in advancing radar system performance through improved signal-to-noise ratios and spatial resolution capabilities.