A Comparative Study of the Performance of Parameter Estimation of a 2-D Field Using Line- and Point-Projection Sensors

Shani Gat, Hagit Messer

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

Abstract

The signal's attenuation measured over wireless Commercial Microwave Links (CMLs) have proven to be an effective tool for opportunistic environmental sensing. By nature, a CML senses the projection along the propagation path of the 2-D field it monitors. Inspired by this application, we present a comparative theoretical study of two families of sensors: in one case the sensors are point samples of the field, and in the other case they are projections along a line of an arbitrary length and of arbitrary orientation, centered at the same locations. The study is done by Cramer-Rao Bounds, used for evaluating the performance of estimating a Gaussian-Shaped field by N sensors in given locations. This study is relevant to IoT applications, where in the first case the sensors are designated, local sensors (e.g., rain gauges) and in the second case the sensors are opportunistic, e.g., CMLs. We present appropriate algorithm-independent theoretical tools to deal with such problems, and relate the characteristics of the monitored field to the potential performance gain when using CMLs.

Original languageEnglish
Title of host publication2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages146-150
Number of pages5
ISBN (Electronic)9781728155494
DOIs
StatePublished - Dec 2019
Event8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Le Gosier, Guadeloupe
Duration: 15 Dec 201918 Dec 2019

Publication series

Name2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings

Conference

Conference8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019
Country/TerritoryGuadeloupe
CityLe Gosier
Period15/12/1918/12/19

Keywords

  • Fisher Information
  • Opportunistic sensors
  • environmental monitoring
  • rain field estimation

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