elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Optimised Complexity Reduction for Maximum Likelihood Position Estimation in Spread Spectrum Navigation Receivers

Groh, Ingmar and Sand, Stephan (2011) Optimised Complexity Reduction for Maximum Likelihood Position Estimation in Spread Spectrum Navigation Receivers. IET Radar, Sonar & Navigation, 5 (9), pp. 911-923. Institution of Engineering and Technology (IET). DOI: 10.1049/iet-rsn.2011.0041 ISSN 1751-8784

Full text not available from this repository.

Official URL: http://link.aip.org/link/?RSN/5/911/1

Abstract

In urban environments, spread spectrum radio navigation is subject to multipath propagation causing multipath errors of tens of metres. Low-complexity high-resolution channel delay estimation is crucial for position estimation in the receivers to mitigate the multipath errors. The main drawback of maximum likelihood (ML) channel delay estimation is the high computational complexity. Thus, recent publications present methods to decrease its computational complexity. These contributions assess the complexity reduction by means of signal subspace energy errors (SSEEs). This assessment of the complexity reduction is incomplete, as the relevant metric, that is, the relationship between complexity reduction and degrading position accuracy in terms of increasing root mean square error (RMSE) lacks. The authors main contribution is the derivation and analysis of this relation. The larger RMSE for complexity-reduced ML estimation algorithms compared to the implementation without complexity reduction consists of an increased noise variance and a non-zero bias. Thus, this contribution associates the SSEE and the RMSE for complexity-reduced ML estimators. Computer simulations confirm the revealed analytical relationships. Furthermore, the authors approach yields a novel method to minimise the increased noise variance of complexity-reduced ML estimation. Thus, the authors algorithms yield a lower RMSE.

Item URL in elib:https://elib.dlr.de/71165/
Document Type:Article
Title:Optimised Complexity Reduction for Maximum Likelihood Position Estimation in Spread Spectrum Navigation Receivers
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Groh, IngmarUNSPECIFIEDUNSPECIFIED
Sand, StephanUNSPECIFIEDUNSPECIFIED
Date:December 2011
Journal or Publication Title:IET Radar, Sonar & Navigation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:5
DOI :10.1049/iet-rsn.2011.0041
Page Range:pp. 911-923
Publisher:Institution of Engineering and Technology (IET)
ISSN:1751-8784
Status:Published
Keywords:optimised complexity reduction, maximum likelihood position estimation, spread spectrum navigation receivers, multipath propagation, low-complexity high-resolution channel delay estimation, position estimation, ML, signal subspace energy errors, root mean square error, RMSE, SSEE, computer simulations
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben GNSS2/Neue Dienste und Produkte
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Sand, Dr Stephan
Deposited On:18 Jan 2012 11:44
Last Modified:06 Sep 2019 15:26

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.