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2019 | OriginalPaper | Chapter

An Adaptive Threshold Decision Algorithm in Non-cooperative Signal Detection

Authors : Ziheng Li, Shuo Shi, Xuemai Gu

Published in: Artificial Intelligence for Communications and Networks

Publisher: Springer International Publishing

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Abstract

As the communication environment becomes more and more complex, it becomes more meaningful to detect and capture useful signals accurately. In this paper, we mainly focus on several typical burst signal detection algorithms in wireless communication networks. We analyze the signal energy detection algorithm, preamble detection, and frequency domain detection algorithms, then perform simulations for them. Above these, responding to non-cooperative communications, an adaptive threshold decision algorithm based on projection method is designed. Finally, we come to a conclusion, that each algorithm is suitable for burst signal detection, having its own advantages and disadvantages in different environments. And our decision algorithm is effective.

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Metadata
Title
An Adaptive Threshold Decision Algorithm in Non-cooperative Signal Detection
Authors
Ziheng Li
Shuo Shi
Xuemai Gu
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-22968-9_30

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