A Blind Spatial Spectrum Sensing Algorithm for Noncircular Signals

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-02-07 DOI:10.1109/LCOMM.2025.3539762

Xinquan Qiu;Yuan Jiang;Lei Zhao

引用次数: 0

Abstract

In cognitive radio, most spatial spectrum sensing algorithms ignore the characteristic of the noncircular (NC) signals that are common in modern communication systems. In this letter, we propose a novel blind spatial spectrum sensing algorithm for NC signals. First, the spatial spectrum of the NC signals is improved by utilizing the complementary covariance. On this basis, we present the maximum-minimum spatial spectrum of the NC signals (NC-MMSS) detection, which can detect the signal of primary user (PU) and provide corresponding angle of arrival (AoA) information. Then the theoretical expressions of probability of false alarm, decision threshold, and probability of detection are derived. Finally, simulation results verify that the proposed method is superior to the existing spatial spectrum sensing algorithms.

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非圆形信号的盲空间光谱传感算法

在认知无线电中，大多数空间频谱传感算法都忽略了现代通信系统中常见的非环形（NC）信号的特性。在这封信中，我们提出了一种针对 NC 信号的新型盲空间频谱传感算法。首先，我们利用互补协方差改进了 NC 信号的空间频谱。在此基础上，我们提出了数控信号的最大-最小空间频谱（NC-MMSS）检测，它可以检测主用户（PU）信号并提供相应的到达角（AoA）信息。然后推导出误报概率、决策阈值和检测概率的理论表达式。最后，仿真结果验证了所提出的方法优于现有的空间频谱传感算法。

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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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.