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

The Extended Invariance Principle for Signal Parameter Estimation in an Unknown Spatial Field

Antreich, Felix and Nossek, Josef A. and Seco-Granados, Gonzalo and Swindlehurst, A. Lee (2011) The Extended Invariance Principle for Signal Parameter Estimation in an Unknown Spatial Field. IEEE Transactions on Signal Processing, 59 (7). IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TSP.2011.2140107

Full text not available from this repository.

Abstract

This work treats the problem of joint estimation of time-delay, Doppler frequency and spatial (direction-of-arrival or DOA) parameters of several replicas of a known signal in an unknown spatially correlated noise field. Both spatially unstructured and structured data models have been proposed for this problem, and corresponding maximum likelihood (ML) estimators have been derived. However, structured models require a high computational complexity and are sensitive to the antenna array response, while unstructured models are unable to achieve good performance in some scenarios. In this work it is shown how the extended invariance principle (EXIP) can be applied to obtain estimates with the quality of a spatially structured model, but with much lower complexity than directly utilizing a structured model, and with greater robustness to errors in the model of the array response. EXIP improves the quality of the time-delay and Doppler frequency estimates obtained with a spatially unstructured model by introducing DOA estimates which are obtained in a second step through an innovative reparametrization. Simulation results for time-delay and Doppler frequency estimation for GPS (Global Positioning System) signals are presented and confirm that the proposed twostep approach attains the Cramer-Rao lower bound (CRLB) of the spatially structured model.

Item URL in elib:https://elib.dlr.de/69501/
Document Type:Article
Title:The Extended Invariance Principle for Signal Parameter Estimation in an Unknown Spatial Field
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Antreich, FelixGerman Aerospace Center (DLR)UNSPECIFIED
Nossek, Josef A.Munich University of Technology (TUM)UNSPECIFIED
Seco-Granados, GonzaloUniversitat Autonoma de Barcelona (UAB) UNSPECIFIED
Swindlehurst, A. LeeUniversity of California Irvine (UCI)UNSPECIFIED
Date:July 2011
Journal or Publication Title:IEEE Transactions on Signal Processing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:59
DOI :10.1109/TSP.2011.2140107
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Status:Published
Keywords:Antenna arrays, Cramer-Rao lower bound, direction of arrival, Doppler frequency, propagation time-delay, high-resolution array signal processing, maximum likelihood estimation, multipath channel, extended invariance principle
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W KN - Kommunikation/Navigation
DLR - Research area:Space
DLR - Program:W KN - Kommunikation/Navigation
DLR - Research theme (Project):W - Projekt Galileo Advanced Applications (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Deposited By: Antreich, Felix
Deposited On:12 Apr 2011 09:55
Last Modified:06 Sep 2019 15:17

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.