Combined censoring and weighted fusion based spectrum sensing with improved energy detector

2021 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2014-12-01 DOI:10.1109/ICCCT2.2014.7066710

S. Nallagonda, Mahendar Gajula, Sanjay Dhar Roy, S. Kundu

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引用次数: 1

Abstract

In the present article, the cooperative spectrum sensing with a weighted fusion (WCSS) scheme has been analyzed in Rayleigh fading. Cognitive radio (CR) uses an improved energy detector (IED) with several antennas. Antenna selection diversity combining (SC) is performed at each CR on the basis of the values of decision statistics measured from different antennas at IED. Every CR takes 1-bit decision regarding primary user (PU) and sends its decision to fusion center (FC) with binary phase shift keying (BPSK) signaling if FC selects that CR to send. The FC estimates weight factors of selected CRs with the help of a profile of average SNRs and incorporated with decisions of each selected CR. The missed detection performance is evaluated for different values of improved detector parameter with different number of antennas, average SNRs of sensing (S) and reporting (R) channels. WCSS with censoring performance is also analyzed for perfect and imperfect estimation cases. Combined censoring and weighted fusion significantly improves the spectrum sensing performance.

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基于改进能量检测器的联合滤波和加权融合频谱传感

本文分析了基于加权融合的瑞利衰落协同频谱感知方案。认知无线电(CR)使用一种改进的带有多个天线的能量探测器(IED)。天线选择分集组合(Antenna selection diversity combine, SC)是基于IED中不同天线的决策统计量进行的。每个CR对主用户(PU)进行1位决策，如果FC选择发送该CR，则通过二进制相移键控(BPSK)信令将其决策发送给融合中心(FC)。FC利用平均信噪比曲线估计所选CR的权重因子，并结合每个所选CR的决策，对不同天线数、感知(S)和报告(R)通道的平均信噪比下改进的检测器参数的不同值进行漏检性能评估。同时分析了具有过滤性能的WCSS的完美估计和不完美估计情况。结合滤波和加权融合，显著提高了频谱感知性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 RIVF International Conference on Computing and Communication Technologies (RIVF)

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