数据采集与处理2017，Vol.32Issue(1)：37-45,9.DOI:10.16337/j.1004-9037.2017.01.004
高斯信源下多中继网络的分布式压缩转发系统与优化设计
Compression Forward and Optimization of Multi-relay Networks for Gaussian Sources
摘要
Abstract
A new relay quantization scheme based on Gaussian sources is proposed,This model is applicable for the following system,the sensor can only simply send analog signals,and relays can provide distributed source encoding and channel encoding,the microwave radars and acoustic radars,etc.A theoretical analysis framework of the system is presented.The rate distortion function of the sensor network is established using chief executive officer(CEO) theory,and then we use the Shannon channel capacity theory to establish the connection between the sensor network and the digital communication network.The optimization design method of the system is proposed.Power allocation between the sensor network and the communication network is achieved to make the SNR performance reach the maximum under the condition of total power constraint.Theoretical analysis and simulation results show that the performance of the proposed method is much better than that of the analog amplify and forward.关键词
高斯信源/压缩转发/功率分配/多中继网络/放大转发Key words
Gaussian sources/compression forward/power allocation/multi-relay network/amplify-and-forward分类
信息技术与安全科学引用本文复制引用
徐大专,张瑞丹,许生凯..高斯信源下多中继网络的分布式压缩转发系统与优化设计[J].数据采集与处理,2017,32(1):37-45,9.基金项目
国家自然科学基金(61471192,61371169)资助项目 （61471192,61371169）
江苏省高等学校优势学科建设工程资助项目. （）
