research-article

Total least squares phased averaging and 3-D ESPRIT for joint azimuth-elevation-carrier estimation

Author:

P. StrobachAuthors Info & Claims

IEEE Transactions on Signal Processing, Volume 49, Issue 1

Pages 54 - 62

https://doi.org/10.1109/78.890341

Published: 01 January 2001 Publication History

Abstract

The method of total least squares (TLS) phased averaging for high-performance subspace fitting in the three-dimensional (3-D) case of spectral estimation with 3-D ESPRIT is introduced and applied to the joint azimuth elevation-carrier estimation problem with two-dimensional (2-D) uniform rectangular arrays. The method is highly efficient computationally and is suitable for large arrays. Detailed computer experiments and comparisons are provided. For a 16×16 array of sensors and heavy noise, TLS phased-averaging 3-D ESPRIT exceeds the 3-D TLS unitary ESPRIT estimator by 300% in RMSE performance

Cited By

View all

Strobach P(2009)The fast recursive row-Householder subspace tracking algorithmSignal Processing10.1016/j.sigpro.2009.04.01289:12(2514-2528)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1016/j.sigpro.2009.04.012
Xu YLiu Z(2007)Frequency-Azimuth-Elevation Determination with a Single Acoustic Vector-Sensor Involved in a Reflecting BoundaryCircuits, Systems, and Signal Processing10.1007/s00034-007-9003-x26:6(875-895)Online publication date: 1-Dec-2007
https://dl.acm.org/doi/10.1007/s00034-007-9003-x

Recommendations

SVD-based joint azimuth/elevation estimation with automatic pairing

In this paper, a joint azimuth/elevation estimator with automatic pairing is developed. Two-dimensional (2-D) angle of arrival (AOA) estimation is useful in space processing systems and wireless location systems that employ AOA technology. The estimator ...
Performance analysis of the total least squares ESPRIT algorithm

The asymptotic distribution of the estimation error for the total least squares (TLS) version of ESPRIT is derived. The application to a uniform linear array is treated in some detail, and a generalization of ESPRIT to include row weighting is ...
Low-Complexity Estimation of the Nominal Azimuth and Elevation for Incoherently Distributed Sources

This paper develops a new technique for estimating the two-dimensional direction-of-arrivals (DOAs) of incoherently distributed (ID) sources, which can estimate effectively the nominal azimuth and nominal elevation of multiple ID sources at the cost of ...

Comments

Information & Contributors

Information

Published In

cover image IEEE Transactions on Signal Processing

IEEE Transactions on Signal Processing Volume 49, Issue 1

January 2001

263 pages

ISSN:1053-587X

Issue’s Table of Contents

Publisher

IEEE Press

Publication History

Published: 01 January 2001

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 31 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Strobach P(2009)The fast recursive row-Householder subspace tracking algorithmSignal Processing10.1016/j.sigpro.2009.04.01289:12(2514-2528)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1016/j.sigpro.2009.04.012
Xu YLiu Z(2007)Frequency-Azimuth-Elevation Determination with a Single Acoustic Vector-Sensor Involved in a Reflecting BoundaryCircuits, Systems, and Signal Processing10.1007/s00034-007-9003-x26:6(875-895)Online publication date: 1-Dec-2007
https://dl.acm.org/doi/10.1007/s00034-007-9003-x

Abstract

Cited By

Recommendations

SVD-based joint azimuth/elevation estimation with automatic pairing

Performance analysis of the total least squares ESPRIT algorithm

Low-Complexity Estimation of the Nominal Azimuth and Elevation for Incoherently Distributed Sources

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Share

Share this Publication link

Share on social media

Affiliations