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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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Z., Shi, S., Gu, X. (2019). An Adaptive Threshold Decision Algorithm in Non-cooperative Signal Detection. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_30
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DOI: https://doi.org/10.1007/978-3-030-22968-9_30
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Publisher Name: Springer, Cham
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