@inproceedings{5a497c0a79cf4eefa39249dacbad66bf,
title = "An Adaptive Threshold Decision Algorithm in Non-cooperative Signal Detection",
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.",
keywords = "Burst, Energy, Projection, Signal detection",
author = "Ziheng Li and Shuo Shi and Xuemai Gu",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019 ; Conference date: 25-05-2019 Through 26-05-2019",
year = "2019",
doi = "10.1007/978-3-030-22968-9\_30",
language = "英语",
isbn = "9783030229672",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "342--349",
editor = "Shuai Han and Liang Ye and Weixiao Meng",
booktitle = "Artificial Intelligence for Communications and Networks - 1st EAI International Conference, AICON 2019, Proceedings",
address = "德国",
}