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《Journal of Data Acquisition and Processing》 2017-01
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Compression Forward and Optimization of Multi-relay Networks for Gaussian Sources

Xu Dazhuan;Zhang Ruidan;Xu Shengkai;College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics;  
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.
【Fund】: 国家自然科学基金(61471192 61371169)资助项目;; 江苏省高等学校优势学科建设工程资助项目
【CateGory Index】: TN92
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