非高斯噪声中的局部频谱感知

Sayed Jalal Zahabi, A. Tadaion
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引用次数: 31

摘要

研究了非高斯噪声条件下的局部频谱感知问题。在认知无线电中,可靠地检测许可用户的存在是非常重要的。这项任务高度依赖于噪声分布,因此尽可能最好地表征噪声行为是很重要的。由于种种原因,噪声的高斯假设引起了人们的兴趣,但在实际应用中,它有时不能很好地模拟噪声的行为。本文提出了一种广义非高斯噪声域的局部频谱感知方案。我们合理地假设主用户(PU)信号是相移键控(PSK)调制的,其中星座点数M和符号代码序列对于辅助用户(SU)来说是未知的,就像在实践中一样。我们还假设单元不知道PU信号的复振幅和非高斯噪声方差。在这个框架内,我们得到了广义似然比检验(GLRT)作为我们的频谱感知方案,并提出了一个近似实现得到的GLRT。仿真结果表明,该方案具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local spectrum sensing in non-Gaussian noise
This paper deals with the local spectrum sensing problem in non-Gaussian noise. It is of great importance to reliably detect the presence of licensed users in cognitive radio. This task highly depends on the noise distribution, thus it is important to characterize the noise behavior as best as possible. Although Gaussian assumption for noise is of interest due to many reasons, it sometimes fails to model the behavior of noise in practice. In this paper we present a local spectrum sensing scheme in a broad family of non-Gaussian noise. We reasonably assume that the Primary User (PU) signal is Phase Shift Keying (PSK) modulated, where the number of constellation points, M, and the symbol code sequence are unknown to the Secondary Users (SU), as in practice. We also assume that the SUs are unaware of the PU signal complex amplitude and the non-Gaussian noise variance. Within this framework, we obtain the Generalized Likelihood Ratio Test (GLRT) as our spectrum sensing scheme and propose an approximate implementation of the resulting GLRT. Simulation results show that our proposed scheme has an acceptable performance.
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