协作频谱感知中基于距离准则的量化器设计

doi:10.11959/j.issn.1000-436x.2018150

Abstract

Abstract:

In terms of sensing node’s energy and reporting channel’s bandwidth constrains problem for cooperative spectrum sensing in cognitive radio networks,an optimal quantizer design method based on distance criterion was proposed.First of all,the Bhattacharyya distance of received quantized data at the fusion center (FC) was calculated as performance criteria,the optimization mathematical model of the quantizer was constructed,and the optimum quantization thresholds were obtained by using particle swarm optimization algorithm.According to received sensing nodes’ quantized data at the FC,a log-likelihood ratio detector was constructed to decide the presence or absence of primary user signal,the upper bound to sensing performance of energy detector that without quantization was derived.Compared with the existing methods in literatures,the performance of proposed 3-bit quantization method approaches to the upper bound performance of energy detector,under the premise of obtaining comparable detection performance,the requirement of communication bandwidth is reduced.

Key words: optimal quantization, distance criterion, particle swarm optimization algorithm, cooperative spectrum sensing

CLC Number:

TN929.5

Yuanhua FU,Zhiming HE. Distance criterion-based quantizer design for cooperative spectrum sensing[J]. Journal on Communications, 2018, 39(9): 49-56.

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References 23

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阈值	2-bit随机	2-bit PSO优化	3-bit随机	3-bit PSO优化
λ₁	0.066 0	0.975 3	0.702 1	0.922 6
λ₂	1.075 9	1.046 6	0.753 9	0.973 9
λ₃	1.374 4	1.117 4	0.794 3	1.014 1
λ₄	—	—	0.830 1	1.050 1
λ₅	—	—	0.865 4	1.085 7
λ₆	—	—	0.905 6	1.125 6
λ₇	—	—	1.013 2	1.173 8

Distance criterion-based quantizer design for cooperative spectrum sensing

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