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Several Bits Are Enough: Off-Grid Target Localization in WSNs Using Variational Bayesian EM Algorithm

Yan GUO, Peng QIAN, Ning LI

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Summary :

The compressive sensing has been applied to develop an effective framework for simultaneously localizing multiple targets in wireless sensor networks. Nevertheless, existing methods implicitly use analog measurements, which have infinite bit precision. In this letter, we focus on off-grid target localization using quantized measurements with only several bits. To address this, we propose a novel localization framework for jointly estimating target locations and dealing with quantization errors, based on the novel application of the variational Bayesian Expectation-Maximization methodology. Simulation results highlight its superior performance.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.7 pp.926-929
Publication Date
2019/07/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E102.A.926
Type of Manuscript
LETTER
Category
Digital Signal Processing

Authors

Yan GUO
  Army Engineering University
Peng QIAN
  Army Engineering University
Ning LI
  Army Engineering University

Keyword