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Distributed Estimation in Sensor Networks with Repetition Coding |
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| Authors: | ZHANG Li CUI Tao ZHANG Xi a Science Technology on Underwater Acoustic Antagonizing Laboratory System Engineering Research Institute Beijing China Tsinghua National Laboratory for Information Science Technology |
| Institution: | ZHANG Li 1,2,CUI Tao 3,ZHANG Xianda 2 1. Science and Technology on Underwater Acoustic Antagonizing Laboratory,System Engineering Research Institute,Beijing 100037,China,2. Tsinghua National Laboratory for Information Science and Technology,Department of Automation,Tsinghua University,Beijing 100084,3. Department of Electrical Engineering,California Institute of Technology,CA 91125,USA |
| Abstract: | This paper considers the distributed estimation of a source parameter using quantized sensor observations in a wireless sensor network with noisy channels. Repetition codes are used to transmit quantization bits of sensor observations and a quasi best linear unbiased estimate is constructed to estimate the source parameter. Simulations show that the estimation scheme achieves a better power and spectral efficiency than the previous scheme. |
| Keywords: | distributed estimation quantization distributed signal processing sensor networks |
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