A new method of pulse edge detection in low SNR

Xiaolei Fan; Tao Li; Shaoying Su; Zengping Chen

doi:10.1117/12.2205763

14 December 2015 A new method of pulse edge detection in low SNR

Xiaolei Fan, Tao Li, Shaoying Su, Zengping Chen

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 981213 (2015) https://doi.org/10.1117/12.2205763
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In this paper, we propose a new pulse edge detection method based on short time Fourier transform (STFT) and difference of boxes (DOB) filter. Firstly, detect the coarse starting and ending positions in frequency domain after STFT. Then obtain the precise pulse edge through DOB filter. It achieves a better performance than the classical energy detection (ED) method, especially when signal to noise ratio (SNR) is low. Simulation results and real data application validate the effectiveness of the proposed method.

Citation Download Citation

Xiaolei Fan, Tao Li, Shaoying Su, and Zengping Chen "A new method of pulse edge detection in low SNR", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981213 (14 December 2015); https://doi.org/10.1117/12.2205763

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