Translator Disclaimer
31 December 2019 Lifting wavelet denoising based on pulsar wavelet basis
Author Affiliations +
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
10 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Denoising to the pulsed laser radar return waves based on...
Proceedings of SPIE (December 05 2012)
Denoising via adaptive lifting schemes
Proceedings of SPIE (December 04 2000)
ICA domain filtering for reduction of noise in x ray...
Proceedings of SPIE (March 20 2006)

Back to Top