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Comparative Study on Weak Signal Detection Algorithms

Authors: Zi-Wei Zheng; Fan Zhang;

Comparative Study on Weak Signal Detection Algorithms

Abstract

To make the high performance weak signal detection algorithms further applying in the fields of synchronization, channel estimation, equalization for high-data-rate broadband mobile communication systems, algorithms of single-layer autocorrelation, multi-layer autocorrelation, discrete wavelet transform are comparatively studied for the application in weak signal detection in this paper. Modeling and simulation studies are performed. Simulation results show that algorithms of both single-layer autocorrelation and multi-layer autocorrelation can smooth noise and extract useful signal effectively without knowledge of prior information, algorithm of multi-layer autocorrelation has better performance than algorithm of single-layer autocorrelation, and algorithm of discrete wavelet transform has the worst performance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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