协作频谱感知中基于距离准则的量化器设计

付元华; 贺知明

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

您当前的位置：

首页 >

文章列表页 >

协作频谱感知中基于距离准则的量化器设计

论文Ⅰ：5G及认知协作网络 | 更新时间：2024-06-05

- 协作频谱感知中基于距离准则的量化器设计
- Distance criterion-based quantizer design for cooperative spectrum sensing
- 通信学报 2018年39卷第9期页码：49-56
- 作者机构：
  
  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
- 作者简介：
  
  [ "付元华（1987-），男，四川巴中人，电子科技大学博士生，主要研究方向为认知无线传感器网络、频谱感知技术。" ]
  [ "贺知明（1972-），男，四川乐山人，博士，电子科技大学教授、博士生导师，主要研究方向为雷达系统与信号处理。" ]
- 基金信息：
  
  广东省东莞市社会科技发展基金资助项目(2016108101020)
- DOI：10.11959/j.issn.1000-436x.2018150
  中图分类号： TN929.5
- 网络首发：2018-09，
  
  纸质出版：2018-09-25
- 稿件说明：
移动端阅览
付元华, 贺知明. 协作频谱感知中基于距离准则的量化器设计[J]. 通信学报, 2018,39(9):49-56.

Yuanhua FU, Zhiming HE. Distance criterion-based quantizer design for cooperative spectrum sensing[J]. Journal on Communications, 2018, 39(9): 49-56.
付元华, 贺知明. 协作频谱感知中基于距离准则的量化器设计[J]. 通信学报, 2018,39(9):49-56. DOI： 10.11959/j.issn.1000-436x.2018150.

Yuanhua FU, Zhiming HE. Distance criterion-based quantizer design for cooperative spectrum sensing[J]. Journal on Communications, 2018, 39(9): 49-56. DOI： 10.11959/j.issn.1000-436x.2018150.

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。

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.

关键词

Keywords

references

AXELL E , LEUS G , LARSSON E G , et al . Poor spectrum sensing for cognitive radio:state-of-the-art and recent advances [J ] . IEEE Signal Process , 2012 , 29 ( 3 ): 101 - 116 .

LARSSON E G , SKOGLUND M . Cognitive radio in a frequency-planned environment:Some basic limits [J ] . IEEE Trans Wireless Commun , 2008 , 7 ( 12 ): 4800 - 4806 .

AKYLIDIZ I , LO B , BALAKRISHAN R . Cooperative spectrumsensing in cognitive radio networks:a survey [J ] . Phys Commun , 2011 , 4 ( 1 ): 40 - 62 .

ZHU S , AKOFOR E , CHEN B . Interactive distributed detection with conditionally independent observations [C ] // IEEE Wireless Communications and Networking Conference , 2013 : 2531 - 2535 .

YANG X , NIU R , MASAZADE E , et al . Channel-aware tracking in multi-hop wireless sensor networks with quantized measurements [J ] . IEEE Trans.on Aerospace and Electronic Systems , 2013 , 49 ( 4 ): 2353 - 2368 .

OH D , LEE H , LEE Y . Linear hard decision combining for cooperative spectrum sensing in cognitive radio systems [C ] // The 72nd IEEE Veh Technol Conference . 2010 : 1 - 5 .

崔丽 , 王金龙 , 吴启晖 , 等 . 认知无线电中基于信息简约的最大似然协同频谱感知算法 [J ] . 电子与信息学报 , 2009 , 31 ( 9 ): 2177 - 2182 .

CUI L , WANG G L , WU Q H , et al . Maximum likelihood cooperative spectrum sensing algorithm based on contracted information in cognitive radio systems [J ] . Journal of Electronics ＆ Information Technology , 2009 , 31 ( 9 ): 2177 - 2182 .

张继良 , 汪洋 , 刘法 , 等 . 控制信道受限的认知无线电联合频谱感知 [J ] . 系统工程与电子技术 , 2010 , 32 ( 6 ): 1113 - 1116 .

ZHANG J L , WANG Y , LIU F , et al . Cooperative spectrum sensing for cognitive radios under constrained control channel [J ] . Journal of Systems Engineering and Electronics , 2010 , 32 ( 6 ): 1113 - 1116 .

孙剑锋 , 高锦春 , 刘元安 , 等 . 基于频谱感知结果的认知无线电用户分簇方法 [J ] . 电子与信息学报 , 2012 , 34 ( 4 ): 782 - 786 .

SUN J F , GAO J C , LIU YA , et al . Clustering method for cognitive radio user based on the results of spectrum sensing [J ] . Journal of Electronics ＆ Information Technology , 2012 , 34 ( 4 ): 782 - 786 .

VERMA P , SINGH B . On the decision fusion for cooperative spectrum sensing in cognitive radio networks [J ] . Wireless Networks , 2017 , 23 : 2253 - 2262 .

NHAN N T , INSOO K . Log-likelihood ratio optimal quantizer for cooperative spectrum sensing in cognitive radio [J ] . IEEE Commun Letters , 2011 , 15 ( 3 ): 317 - 319 .

VARSHNEY K R . Quantization of prior probabilities for hypothesis testing [J ] . IEEE Transactions on Signal Processing , 2008 , 56 ( 10 ): 4553 - 4562 .

URRIZA P , REBEIZ E , CABRIC D . Optimal discriminant functions based on sampled distribution distance for modulation classification [J ] . IEEE Commun Lett , 2013 , 17 ( 10 ): 1885 - 1888 .

MHANNA M , DUHAMEL P , PIANTANIDA P . Quantization for distributed binary detection under secrecy constraints [C ] // IEEE International Conference on Commun . 2016 : 1 - 6 .

BERISHA V , WISLER A , HERO A O , et al . Empirically estimable classification bounds based on a nonparametric divergence measure [J ] . IEEE Transactions on Signal Processing , 2016 , 64 ( 3 ): 580 - 591 .

闫永胜 , 王海燕 , 张秀 , 等 . 多传感器网络目标检测方法综述 [J ] . 系统工程与电子技术 , 2015 , 37 ( 3 ): 473 - 484 .

YAN Y S , WANG H Y , ZHAN X , et al . Target detection with multi-sensor networks:a survey [J ] . Systems Engineering and Electronics , 2015 , 37 ( 3 ): 473 - 484 .

COVER T M , THOMAS J A . Elements of information theory [M ] // Hoboken , 2012 : 133 - 183 .

KAILATH T . The divergence and Bhattacharyya distance measures in signal selection [J ] . IEEE Trans Commun Technol , 1967 , 15 ( 1 ): 52 - 60 .

TARIGHATI A , GROSS J , JALDEN J . Decentralized hypothesis testing in energy harvesting wireless sensor networks [J ] . IEEE Transactions on Signal Processing , 2017 , 65 ( 18 ): 4862 - 4873 .

GAO F , GUO L L , LI H B , et al . Quantizer design for distributed GLRT detection of weak signal in wireless sensor networks [J ] . IEEE Trans on Wireless Commun. , 2014 , 14 ( 4 ): 2032 - 2042 .

NGUYEN T N , CIBLAT P , MALEKI S , et al . How many bits should be reported in quantized cooperative spectrum sensing? [J ] . IEEE Wireless Communications Letters , 2015 , 4 ( 5 ): 465 - 468 .

BASTAMI B A , SABERINIA E . A practical multibit data combining strategy for cooperative spectrum sensing [J ] . IEEE Transactions on Vehicular Technology , 2013 , 62 ( 1 ): 384 - 389 .

LI C G , LI Y S , SONG K . Energy efficient design for multiuser downlink energy and uplink information transfer in 5G [J ] . Science China(Information Sciences) , 2016 , 59 ( 2 ): 1 - 8 .

浏览量

1707

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向6G的内生智能频谱管控关键技术研究

基于双重信誉值与多角度权值的抗SSDF攻击协作频谱感知方法

基于混合供能和能量协作的异构网络能量效率优化算法

基于证据间相似性的协作频谱感知方法与性能分析

WSN中基于改进粒子群优化算法的分簇路由协议