New time-frequency approach for weak-chirp-signal detection

Houng-Jyh Mike Wang; Te-Chung Yang; C.-C. Jay Kuo

doi:10.1117/12.236000

22 March 1996 New time-frequency approach for weak-chirp-signal detection

Houng-Jyh Mike Wang, Te-Chung Yang, C.-C. Jay Kuo

Proceedings Volume 2762, Wavelet Applications III; (1996) https://doi.org/10.1117/12.236000
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Houng-Jyh Mike Wang, Te-Chung Yang, and C.-C. Jay Kuo "New time-frequency approach for weak-chirp-signal detection", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); https://doi.org/10.1117/12.236000

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available