Parameter estimation from multiple sensors with mixed resolution of quantization

Elad Heiman, Hagit Messer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To comply with system requirements (e.g., power consumption, bandwidth) in many wireless sensor networks, the signals are roughly quantized. In this paper we address the case in which different sensors in the network sense autonomously a physical parameter field and are quantized in different quantization resolution. We present the Maximum Likelihood estimator (MLE) for general parameter estimation in such a case, and we study in details the special case of linear parameter estimation, for which we compare the MLE to the Naive MLE (NMLE) which disregards the quantization. While being asymptotically optimal, the MLE is a complex processor. Therefore, we suggest a sub-optimal estimator, simpler than the MLE, whose performance is close to the optimal one, being better than that of the NMLE. Simulation results demonstrate the operation of the different estimators in various conditions.

Original languageEnglish
Title of host publication2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959877
DOIs
StatePublished - 2014
Event2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/TerritoryIsrael
CityEilat
Period3/12/145/12/14

Keywords

  • Parameter estimation
  • Physical field
  • Quantization resolution
  • Signal processing
  • Wireless sensor network

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