DocumentCode
1068597
Title
CramÉr–Rao Bound Analysis of Positioning Approaches in GNSS Receivers
Author
Closas, Pau ; Fernández-Prades, Carles ; Fernández-Rubio, Juan A.
Author_Institution
Dept. of Signal Theor. & Commun., Univ. Politec. de Catalunya (UPC), Barcelona, Spain
Volume
57
Issue
10
fYear
2009
Firstpage
3775
Lastpage
3786
Abstract
Recently, direct position estimation (DPE) has arisen as a potential approach to deal with the positioning problem in global navigation satellite system receivers. The conventional navigation solution is obtained in two steps: synchronization parameters are estimated and then a trilateration procedure is in charge of computing user´s position, based on those parameters. In contrast, DPE estimates receiver´s position directly from digitized signal. DPE was seen to provide GNSS receivers with appealing capabilities, such as multipath mitigation. However, a theoretical bound for those estimates is still missing and the answer to ldquohow better can DPE perform compared to the conventional approach?rdquo has not been addressed in the literature. Aiming at clarifying those issues, this paper presents the derivation of the CramEacuter-Rao bound (CRB) of position for both conventional and DPE approaches. We present the derivation for a multiantenna receiver as a general case. In addition, a number of realistic scenarios are tested in order to compare the theoretical performance bounds of both alternatives and the actual root mean squared error performance of the corresponding maximum likelihood estimator.
Keywords
maximum likelihood estimation; mean square error methods; radio receivers; satellite navigation; Cramer-Rao bound analysis; GNSS receivers; direct position estimation; global navigation satellite system receivers; maximum likelihood estimator; multiantenna receiver; positioning approaches; root mean squared error performance; synchronization parameters; trilateration procedure; CramÉr–Rao bound (CRB); maximum likelihood estimation; multipath channels; satellite navigation systems;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2009.2025083
Filename
5071218
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