New time-frequency approach for weak-chirp-signal detection
Houng-Jyh M. Wang, Te-Chung Yang, C.‐C. Jay Kuo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
Several methods have been proposed to detect chirp signals buried in white noise, including wavelet shrinkage and matching pursuits. However, most of these methods perform poorly when the signal-to-noise ratio (SNR) becomes very low (e.g. lower than 0 dB). In this work, we present a new time-frequency technique using the multi-window Fourier transform (MWFT) and local maximum indexing. The new method detects the location and frequency range of a chirp signal with SNR up to minus 6 dB.