Reference : Joint Parameter Estimation From Binary Observations Over Decentralized Channels
Scientific journals : Article
Engineering, computing & technology : Computer science
Security, Reliability and Trust
Joint Parameter Estimation From Binary Observations Over Decentralized Channels
Fan, Wenzhe []
Xia, Yili []
Li, Chunguo []
Huang, Yongming []
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
IEEE Transactions on Signal Processing
509 - 522
[en] In wireless sensor networks, due to the bandwidth constraint, the distributed nodes (DNs) might only provide binary representatives of the source signal, and then transmit them to the central node (CN). In this paper, we consider the joint estimation of signal amplitude and background noise variance from binary observations over decentralized channels. We first analyze the Cramér–Rao lower bounds (CRLBs) of the parameters of interest and develop a quasilinear estimator (QLE), in which the desirable estimates can be obtained from several intermediate parameters linearly. Next, we consider a more realistic situation where the decentralized channel is noisy during the data transmission. Based on the error propagation model, the asymptotic analysis shows that the performance of the proposed QLE is mainly dominated by the thresholds of the quantizers, which encourages us to adopt a correlated quantization (CQ) scheme by exploiting the spatial correlation among background noises/channel noises. To ease the implementation of QLE in practice, an adaptive quantization (AQ) scheme is also proposed so as to obtain reasonable selections of the required thresholds. Finally, numerical simulations are provided to validate our theoretical findings.

File(s) associated to this reference

Fulltext file(s):

Limited access
Joint_Parameter_Estimation_From_Binary_Observations_Over_Decentralized_Channels.pdfPublisher postprint843.39 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.