Article (Scientific journals)
Joint Parameter Estimation From Binary Observations Over Decentralized Channels
Fan, Wenzhe; Xia, Yili; Li, Chunguo et al.
2022In IEEE Transactions on Signal Processing, 70, p. 509 - 522
Peer Reviewed verified by ORBi
 

Files


Full Text
Joint_Parameter_Estimation_From_Binary_Observations_Over_Decentralized_Channels.pdf
Publisher postprint (863.63 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[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.
Disciplines :
Computer science
Author, co-author :
Fan, Wenzhe
Xia, Yili
Li, Chunguo
Huang, Yongming
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Joint Parameter Estimation From Binary Observations Over Decentralized Channels
Publication date :
2022
Journal title :
IEEE Transactions on Signal Processing
ISSN :
1053-587X
Publisher :
IEEE, United States
Volume :
70
Pages :
509 - 522
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 27 December 2022

Statistics


Number of views
29 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
1
Scopus citations®
without self-citations
1
WoS citations
 
2

Bibliography


Similar publications



Contact ORBilu