Lifting wavelet denoising based on pulsar wavelet basis

Sihai You; Hongli Wang; Lei Feng; Yiyang He; Qiang Xu; Yongqiang Xiao

doi:10.1117/12.2559602

31 December 2019 Lifting wavelet denoising based on pulsar wavelet basis

Sihai You, Hongli Wang, Lei Feng, Yiyang He, Qiang Xu, Yongqiang Xiao

Proceedings Volume 11384, Eleventh International Conference on Signal Processing Systems; 1138405 (2019) https://doi.org/10.1117/12.2559602
Event: Eleventh International Conference on Signal Processing Systems, 2019, Chengdu, China

Abstract

In the X-ray pulsar navigation process, since the pulsar signal obtained by the epoch folding contains a large amount of noise, the signal must be denoised in order to obtain higher positioning accuracy. In order to further optimize the denoising effect and improve the algorithm in real time, this paper proposes a pulsar wavelet base and implements its lifting scheme. In this paper, wavelet multi-level decomposition is performed on the pulsar outline, then a wavelet base based on the pulsar's own signal is constructed according to the low-frequency coefficients, and its lifting method is realized. Matlab simulation shows that compared with db4 and db5 methods, the proposed method performs better in terms of signal-to-noise ratio, mean square error, peak relative error, peak position error and real-time performance. Although the peak error of the db1 wavelet is relatively small, its signal-to-noise ratio is too large, and the overall performance is obviously not as good as the proposed method. The proposed signal-to-noise ratio is up to 4.2dB higher than the db4 and db5 methods, and the mean square error is only 24.3% of the db4 and db5 methods. The peak position error is only 50% of the db4 and db5 methods.

Citation Download Citation

Sihai You, Hongli Wang, Lei Feng, Yiyang He, Qiang Xu, and Yongqiang Xiao "Lifting wavelet denoising based on pulsar wavelet basis", Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 1138405 (31 December 2019); https://doi.org/10.1117/12.2559602

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