Super-resolution direction finding with an auxiliary-vector basis

Rohan Grover; Dimitris A. Pados; Michael J. Medley

doi:10.1117/12.606402

Super-resolution direction finding with an auxiliary-vector basis

Rohan Grover
, Dimitris A. Pados
, Michael J. Medley

College of Engineering

SUNY Polytechnic Institute

SUNY Buffalo

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

We develop a new direction-of-arrival (DOA) estimation procedure that utilizes a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis of the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15dB over MUSIC, 7dB over ESPRIT, and 3dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. A reduced complexity version of the proposed DOA estimation algorithm is also suggested. Results for correlated sources are reported as well.

Original language	English
Article number	39
Pages (from-to)	357-365
Number of pages	9
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5819
DOIs	https://doi.org/10.1117/12.606402
State	Published - 2005
Event	Digital Wireless Communications VII and Space Communication Technologies - Orlando, FL, United States Duration: Mar 28 2005 → Mar 31 2005

Keywords

Adaptive filtering
Angle-of-arrival (AOA) estimation
Auxiliary-vector algorithm
Direction-of-arrival (DOA) estimation
Small sample support
Source localization

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10.1117/12.606402

Cite this

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title = "Super-resolution direction finding with an auxiliary-vector basis",

abstract = "We develop a new direction-of-arrival (DOA) estimation procedure that utilizes a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis of the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15dB over MUSIC, 7dB over ESPRIT, and 3dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. A reduced complexity version of the proposed DOA estimation algorithm is also suggested. Results for correlated sources are reported as well.",

keywords = "Adaptive filtering, Angle-of-arrival (AOA) estimation, Auxiliary-vector algorithm, Direction-of-arrival (DOA) estimation, Small sample support, Source localization",

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year = "2005",

doi = "10.1117/12.606402",

language = "English",

volume = "5819",

pages = "357--365",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

note = "Digital Wireless Communications VII and Space Communication Technologies ; Conference date: 28-03-2005 Through 31-03-2005",

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TY - JOUR

T1 - Super-resolution direction finding with an auxiliary-vector basis

AU - Grover, Rohan

AU - Pados, Dimitris A.

AU - Medley, Michael J.

PY - 2005

Y1 - 2005

N2 - We develop a new direction-of-arrival (DOA) estimation procedure that utilizes a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis of the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15dB over MUSIC, 7dB over ESPRIT, and 3dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. A reduced complexity version of the proposed DOA estimation algorithm is also suggested. Results for correlated sources are reported as well.

AB - We develop a new direction-of-arrival (DOA) estimation procedure that utilizes a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis of the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15dB over MUSIC, 7dB over ESPRIT, and 3dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. A reduced complexity version of the proposed DOA estimation algorithm is also suggested. Results for correlated sources are reported as well.

KW - Adaptive filtering

KW - Angle-of-arrival (AOA) estimation

KW - Auxiliary-vector algorithm

KW - Direction-of-arrival (DOA) estimation

KW - Small sample support

KW - Source localization

UR - https://www.scopus.com/pages/publications/27644577978

U2 - 10.1117/12.606402

DO - 10.1117/12.606402

M3 - Conference article

SN - 0277-786X

VL - 5819

SP - 357

EP - 365

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 39

T2 - Digital Wireless Communications VII and Space Communication Technologies

Y2 - 28 March 2005 through 31 March 2005

ER -

Super-resolution direction finding with an auxiliary-vector basis

Abstract

Keywords

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