协作频谱感知中基于距离准则的量化器设计Distancecriterion-based.PDFVIP

第39 卷第9 期 通 信 学 报 Vol.39 No.9 2018 年9 月 Journal on Communications September 2018 协作频谱感知中基于距离准则的量化器设计 1 1,2 付元华 ，贺知明 （1. 电子科技大学信息与通信工程学院，四川 成都 611731 ；2. 电子科技大学广东电子信息工程研究院，广东 东莞 523808 ） 摘 要：针对感知节点能量和汇报信道带宽受限的认知无线电网络中协作频谱感知问题，提出了一种基于距离准 则的优化量化器设计方法。首先，计算融合中心接收的量化数据的巴氏距离(BD, Bhattacharyya distance)为性能准 则，构建量化器的优化数学模型，采用粒子群优化算法求解得出最优量化阈值。根据融合中心接收的各感知节点 的量化数据，构造对数似然比检测器，对是否存在主用户信号做出决策，最后推导了未量化条件下能量检测器的 性能上界。仿真实验结果与已有方法对比，所提出的3 bit 量化方法的性能接近能量检测器的性能上界，在获得类 似检测性能的前提下降低了对通信带宽的需求。 关键词：优化量化；距离准则；粒子群优化算法；协作频谱感知 中图分类号：TN929.5 文献标识码：A doi: 10.11959/j.issn.1000−436x.2018150 Distance criterion-based quantizer design for cooperative spectrum sensing 1 1,2 FU Yuanhua , HE Zhiming 1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China 2. Institute of Electronic and Information Engineering of University of Electronic Science and Technology of China in Guangdong, Dongguan 523808, China Abstract: In terms of sensing node’s energy and reporting channel’s bandwidth constrains problem for cooperative spec- trum 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 thr