Detection of LFM signals in low SNR based on STFT and wavelet denoising

Power-based pulsed radar detection using wavelet denoising and spectral threshold with pattern analysis

“…Short-time Fourier transform (STFT) analysis has been used in the literature [4]; first, the power spectral density (PSD) is calculated in a short time based to obtain the time–frequency distribution, and then spectral envelope [4] is extracted based on the maximum power in each time frame. The result is a simple 1-D time–frequency noisy envelop; this envelop is denoised using wavelet (“Haar” mother wavelet).…”

Enhanced pulse amplitude estimation for electronic warfare systems

“…This result is not sufficient to determine whether threats exist and to identify the threat. Yu et al [12] demonstrated the performance of signal detection after noise cancellation using wavelet, and Shin et al [13] studied the detection performance of the weak radar signals using wavelet filtering. However, these studies focus only on signal detection.…”

Parameter Estimation of LFM Signal Based on Bayesian Compressive Sensing via Fractional Fourier Transform

“…Most of these methods can be ascribed to a multivariable optimization algorithm and are usually computationally demanding in implementation. Other representative algorithms are time-frequency analysis methods, Short Time Fourier Transform (STFT) [5], [6], Wavelet Transform (WT) [7], [8], and Wigner-Ville Distribution (WVD) [9], [10], however these algorithms have some disadvantages to overcome, STFT and WT have problems in the frequency resolution and WVD is influenced by cross terms. However, due to the nonlinear property, the WVD based methods consequentially suffer from the disturbance of cross-terms in the presence of multicomponent signal, although the interfering effect can be suppressed by carefully selecting the kernel function, but meanwhile, Manuscript received April 8, 2016; revised July 16, 2016.…”