Reliability and Threshold-Region Performance of TOA Estimators in Dense Multipath Channels

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

This paper investigates the reliability of time-of-arrival (TOA) based ranging using maximum-likelihood (ML) estimation in a dense multipath (DM) channel in terms of both the conventional mean squared error (MSE) as well as confidence bounds. We show that in the presence of DM the ML estimator distorts the signal mainlobe due to its whitening property, resulting in a bandwidth (BW) dependent bias, even before the outlier driven threshold region is reached. Low-complexity metrics for accurately determining the performance in terms of the PDF of the estimation error of both ML estimation and joint ML estimation and detection are provided. These metrics are based on the well known method of interval estimation (MIE) combined with local error prediction using the normalized noise-free likelihood (NNLIKE) and consider the non-Gaussian effects of outliers as well as mainlobe distortion.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Communications Workshops (ICC Workshops)
Pages1-7
Number of pages7
ISBN (Electronic)978-1-7281-7440-2
DOIs
Publication statusPublished - Jun 2020
Event2020 IEEE International Conference on Communications: ICC Workshops 2020 - Convention Centre Dublin, Virtuell, Ireland
Duration: 7 Jun 202011 Jun 2020

Conference

Conference2020 IEEE International Conference on Communications
Abbreviated titleIEEE ICC 2020
CountryIreland
CityVirtuell
Period7/06/2011/06/20

Keywords

  • Bandwidth (BW)
  • Cramér-Rao lower bound (CRLB)
  • Method of interval estimation (MIE)

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Control and Optimization
  • Signal Processing
  • Computer Networks and Communications

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