噪声不确定性下的鲁棒频谱感知算法

2016 International Conference on Military Communications and Information Systems (ICMCIS) Pub Date : 2016-05-23 DOI:10.1109/ICMCIS.2016.7496541

Xavier Leturc, C. L. Le Martret, P. Ciblat

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引用次数: 0

摘要

本文研究了两种频谱感知方法。第一个是基于能量检测器(ED)的改进，第二个是基于两个样本的拟合优度(GoF)测试。这两个过程需要一个噪声样本向量，并且对噪声不确定性具有鲁棒性。对确定性和高斯信号在加性高斯白噪声(AWGN)和瑞利平坦衰落信道上的检测概率进行了改进。仿真结果表明，这两种改进方法都优于先前的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust spectrum sensing algorithms under noise uncertainty

In this paper, two spectrum sensing procedures are studied. The first one is based on a modification of the Energy Detector (ED) and the second one is based on a two-sample Goodness-of-Fit (GoF) test. The two procedures require a vector of noise samples, and are robust against noise uncertainty. Exact probability of detection are given for deterministic and Gaussian signal over additive white Gaussian noise (AWGN) and Rayleigh flat fading channel for the modified ED. Simulations show that the two procedures outperform previous schemes.

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2016 International Conference on Military Communications and Information Systems (ICMCIS)

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