非理想信道下的传感器网络一比特最大似然算法

doi:10.11959/j.issn.1000-0801.2020041

Abstract

Abstract:

Wireless sensor networks typically consist of wireless sensor nodes that are distributed in a certain spatial range.In general,the energy storage,computing and communication capabilities of nodes are extremely limited.Direct transmission of the sampled signals of the various nodes to the fusion center will result in more energy consumption and greater network communication load.If the sampled signal value of each sensor node is compressed into a one-bit measurement value and then transmitted,the energy consumption and the communication load can be greatly reduced.The parameter estimation problem based on one-bit measurement of sensor networks in multiplicative noise environment was studied.Considering the non-ideal binary channel with interference between the node and the fusion center,a parameter estimation algorithm based on maximum likelihood was proposed,Cramér-Rao lower bound of the parameter estimation was analyzed,and the effectiveness of the algorithm was verified through a series of simulation experiments.

Key words: sensor network, non-ideal channel, parameter estimation, one-bit quantization

CLC Number:

TP393

Nana WANG,Zhaoting LIU,Yingbiao YAO. One-bit maximum likelihood algorithm for sensor networks in non-ideal channels[J]. Telecommunications Science, 2020, 36(3): 53-60.

Figures/Tables 7

τ			${\hat{ω}}_{ML}$
τ	(-∞,-1/σ_e)	(±1/σ_e)	(-1/σ_e,1/σ_e)	(1/σ_e,∞)
τ<0	×	θ₄	θ₂	θ₂
τ= 0	×	×	θ₃	×
τ 0>	θ₁	θ₄	θ₁	×

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