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《Chinese Journal of Sensors and Actuators》 2013-01
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Multi-Symbol Differential Sphere Decoding for Distributed Detections in Wireless Sensor Networks

ZHOU Xiaowei1*,HAN Xinqiang1,JIN Xiaoping1,JIN Ning1,JIN Liping2,LI Zhengquan1(1.Department of Information Engineering,China Jiliang University,Hangzhou 310018,China; 2.School of Electronic and Information Engineering,Zhejiang Wanli University,Ningbo Zhejiang 315100,China)  
In distributed detections of wireless sensor networks,the channel conditions are complicated and difficult to be estimated.Compared with correlation detection,differential detection has the advantage of needing no channel estimations,but a certain performance loss is always paid.To narrow this performance gap,this paper puts forward multi-symbol differential detection,combined with low-complexity sphere decoding algorithm.A detailed analysis of multi-symbol differential sphere decoding iterative search process is presented.The detection performance and complexity analysis show,the proposed detection algorithm can not only reduce the computational complexity,but also achieve good detection performance.The results demonstrate that it can be an effective detection algorithm for distributed detection systems of wireless sensor networks.
【Fund】: 国家自然科学基金(60902011);; 浙江省自然科学基金(LQ12F01010);; 浙江省教育厅科研项目(Y201225956);; 宁波市自然科学基金(2012A610015)
【CateGory Index】: TN929.5;TP212.9
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