B-SSCT:一种面向认知无线电的分块顺序频谱感知方案

Yan Xin, Honghai Zhang, S. Rangarajan, Kyungtae Kim
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引用次数: 4

摘要

最近,研究表明,与众所周知的能量检测方案相比,顺序移位卡方检验(SSCT)能够显著减少平均样本数(ASN),同时保持相当的频谱感知检测误差性能。然而,SSCT需要对每个接收到的样本进行阈值比较,这在实践中可能是困难的,甚至是不可行的,特别是当采样率很高和/或信噪比很低的时候。为了克服这一缺点,本文提出了SSCT的扩展,称为分组SSCT (B-SSCT)。以递归的方式,应用数值算法评估B-SSCT的虚警、漏检概率和ASN。仿真和数值结果表明,与原始SSCT相比,B-SSCT能够实现几乎相同的检测误差性能,但阈值比较次数显著减少,ASN略有增加。一个实现实例证明了B-SSCT在实际环境中的潜在实际可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
B-SSCT: A block sequential spectrum sensing scheme for cognitive radio
Recently, it has been shown that in comparison to the well-known energy detection scheme, the sequential shifted chi-square test (SSCT) is capable of delivering considerable reduction on the average sample number (ASN) while maintaining a comparable detection error performance for spectrum sensing. Nonetheless, SSCT needs to perform threshold comparisons on every received sample, which may be difficult or even infeasible in practice particularly when the sampling rate is high and/or the signal-to-noise ratio is low. This paper proposes an extension of SSCT, called block-wise SSCT (B-SSCT), to overcome this shortcoming. Numerical algorithms are applied to evaluate the false-alarm and miss-detection probabilities and the ASN of B-SSCT, in a recursive fashion. Simulation and numerical results show that compared to the original SSCT, B-SSCT is capable of achieving almost the same detection error performance with a significantly reduced number of threshold comparisons and a slightly increased ASN. An implementation example demonstrates potential practical feasibility of B-SSCT in a real environment.
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