Coherently averaged power spectral estimate for signal detection
Coherently averaged power spectral estimate for signal detection
A common approach to detect sinusoidal signals buried in noise is based on spectral analysis, such as the periodogram. The fluctuations of the spectral components associated with the noise can be alleviated via incoherent averaging of the power spectral estimates of each segment, which is the basis of Welch's method. However, Welch's method only utilizes the incoherent information between segments of signals. In this paper, we propose a method of coherent averaging between segments, which enhances ratio of time-invariant sinusoidal signals relative to the level of the noise background. The gain of coherent averaged power spectral estimate has been derived in terms of time duration of the signal. The proposed method provides a flexible, computationally efficient implementation of signal detection, which can be formulated to allow for various integration times to be realised in different frequency bands. Simulation and experimental results show that the proposed method outperforms the Welch's method and the periodogram method.
Signal detection, coherent averaging, power spectral estimation
1-10
Lan, Hualin
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White, Paul
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Li, Na
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Li, Jianghui
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Sun, Dajun
6956d99c-9898-4590-a459-71ea169de6d4
April 2020
Lan, Hualin
8cd1a21a-a6c3-4ca2-b0a1-a2b3ed2e9d50
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Li, Na
f816fc15-5c6a-4c4c-82ed-c0dd1f5ae0a8
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Sun, Dajun
6956d99c-9898-4590-a459-71ea169de6d4
Lan, Hualin, White, Paul, Li, Na, Li, Jianghui and Sun, Dajun
(2020)
Coherently averaged power spectral estimate for signal detection.
Signal Processing, 169, , [107414].
(doi:10.1016/j.sigpro.2019.107414).
Abstract
A common approach to detect sinusoidal signals buried in noise is based on spectral analysis, such as the periodogram. The fluctuations of the spectral components associated with the noise can be alleviated via incoherent averaging of the power spectral estimates of each segment, which is the basis of Welch's method. However, Welch's method only utilizes the incoherent information between segments of signals. In this paper, we propose a method of coherent averaging between segments, which enhances ratio of time-invariant sinusoidal signals relative to the level of the noise background. The gain of coherent averaged power spectral estimate has been derived in terms of time duration of the signal. The proposed method provides a flexible, computationally efficient implementation of signal detection, which can be formulated to allow for various integration times to be realised in different frequency bands. Simulation and experimental results show that the proposed method outperforms the Welch's method and the periodogram method.
Text
SIGPRO-D-19-00188
- Accepted Manuscript
More information
Accepted/In Press date: 1 December 2019
e-pub ahead of print date: 2 December 2019
Published date: April 2020
Additional Information:
Funding Information:
The authors would like to thank the reviewers for their helpful comments allowing the quality improvement of this paper. The work of Hualin Lan, Na Li, Dajun Sun were partly supported by China NSFC ( 61531012 , 51609052 , 61501133 ). The work of Paul R. White and Jianghui Li were partly supported by the European Unions Horizon 2020 research and innovation programme under the grant agreement number 654462 (STEMM-CCS). Appendix A
Publisher Copyright:
© 2019
Keywords:
Signal detection, coherent averaging, power spectral estimation
Identifiers
Local EPrints ID: 436562
URI: http://eprints.soton.ac.uk/id/eprint/436562
ISSN: 0165-1684
PURE UUID: 1c832cf9-47ff-4e17-9aee-9e1aac57727a
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Date deposited: 13 Dec 2019 17:30
Last modified: 12 Jul 2024 04:04
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Author:
Hualin Lan
Author:
Na Li
Author:
Dajun Sun
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