Decentralized estimation over orthogonal multiple-access fading channels in wireless sensor networks--optimal and suboptimal estimators

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• 作者：Xin Wang (1)
  Chenyang Yang (1)
  
• 关键词：Decentralized estimation ; maximum likelihood estimation ; fading channels ; wireless sensor network
• 刊名：EURASIP Journal on Advances in Signal Processing
• 出版年：2011
• 出版时间：December 2011
• 年：2011
• 卷：2011
• 期：1
• 全文大小：467KB
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• 作者单位：Xin Wang (1)
  Chenyang Yang (1)
  
  1. School of Electronics and Information Engineering, Beihang University, Beijing, 100191, China
  
• ISSN：1687-6180

文摘

We study optimal and suboptimal decentralized estimators in wireless sensor networks over orthogonal multiple-access fading channels in this paper. Considering multiple-bit quantization for digital transmission, we develop maximum likelihood estimators (MLEs) with both known and unknown channel state information (CSI). When training symbols are available, we derive a MLE that is a special case of the MLE with unknown CSI. It implicitly uses the training symbols to estimate CSI and exploits channel estimation in an optimal way and performs the best in realistic scenarios where CSI needs to be estimated and transmission energy is constrained. To reduce the computational complexity of the MLE with unknown CSI, we propose a suboptimal estimator. These optimal and suboptimal estimators exploit both signal- and data-level redundant information to combat the observation noise and the communication errors. Simulation results show that the proposed estimators are superior to the existing approaches, and the suboptimal estimator performs closely to the optimal MLE.