Direction of arrival estimation using root-transformation matrix technique

Murdifi Muhammad; Minghui Li; Qammer H. Abbasi; Cindy Goh; Muhammad Imran

doi:10.1109/APUSNCURSINRSM.2019.8889249

Direction of arrival estimation using root-transformation matrix technique

Murdifi Muhammad
, Minghui Li
, Qammer H. Abbasi
, Cindy Goh
, Muhammad Imran

University of Glasgow
RFNet Technologies Pte Ltd

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) estimator called Root-Transformation Matrix (root-T) technique which includes an investigation of its performance against current DOA algorithms such as root-MUSIC and improved-MUSIC. The main objective of this work is to conserve the performance of improved-MUSIC which achieves high DOA estimation accuracy and resolution while reducing the cost of computational complexity. It's shown that the Root-T performs better in low SNR with performance improvement of 86.7% and with closely-spaced signal condition with performance improvement of 96.8% as compared to root-MUSIC without degrading improved-MUSIC performance while reducing mean computational time by 49.5%.

Original language	English
Title of host publication	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1369-1370
Number of pages	2
ISBN (Electronic)	9781728106922
DOIs	https://doi.org/10.1109/APUSNCURSINRSM.2019.8889249
State	Published - Jul 2019
Externally published	Yes
Event	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Atlanta, United States Duration: 7 Jul 2019 → 12 Jul 2019

Publication series

Name	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

Conference

Conference	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019
Country/Territory	United States
City	Atlanta
Period	7/07/19 → 12/07/19

Keywords

DOA (Direction of Arrival)
MUSIC
Root-MUSIC
ULA (Uniformed Linear Array)

Access to Document

10.1109/APUSNCURSINRSM.2019.8889249

Cite this

Muhammad, M., Li, M., Abbasi, Q. H., Goh, C., & Imran, M. (2019). Direction of arrival estimation using root-transformation matrix technique. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings (pp. 1369-1370). Article 8889249 (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2019.8889249

Muhammad, Murdifi ; Li, Minghui ; Abbasi, Qammer H. et al. / Direction of arrival estimation using root-transformation matrix technique. 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1369-1370 (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings).

@inproceedings{560d3b8a391740d883a235895065c819,

title = "Direction of arrival estimation using root-transformation matrix technique",

abstract = "This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) estimator called Root-Transformation Matrix (root-T) technique which includes an investigation of its performance against current DOA algorithms such as root-MUSIC and improved-MUSIC. The main objective of this work is to conserve the performance of improved-MUSIC which achieves high DOA estimation accuracy and resolution while reducing the cost of computational complexity. It's shown that the Root-T performs better in low SNR with performance improvement of 86.7\% and with closely-spaced signal condition with performance improvement of 96.8\% as compared to root-MUSIC without degrading improved-MUSIC performance while reducing mean computational time by 49.5\%.",

keywords = "DOA (Direction of Arrival), MUSIC, Root-MUSIC, ULA (Uniformed Linear Array)",

author = "Murdifi Muhammad and Minghui Li and Abbasi, \{Qammer H.\} and Cindy Goh and Muhammad Imran",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 ; Conference date: 07-07-2019 Through 12-07-2019",

year = "2019",

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doi = "10.1109/APUSNCURSINRSM.2019.8889249",

language = "English",

series = "2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1369--1370",

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}

Muhammad, M, Li, M, Abbasi, QH, Goh, C & Imran, M 2019, Direction of arrival estimation using root-transformation matrix technique. in 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings., 8889249, 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1369-1370, 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019, Atlanta, United States, 7/07/19. https://doi.org/10.1109/APUSNCURSINRSM.2019.8889249

Direction of arrival estimation using root-transformation matrix technique. / Muhammad, Murdifi; Li, Minghui; Abbasi, Qammer H. et al.
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1369-1370 8889249 (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Muhammad, Murdifi

AU - Li, Minghui

AU - Abbasi, Qammer H.

AU - Goh, Cindy

AU - Imran, Muhammad

PY - 2019/7

Y1 - 2019/7

N2 - This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) estimator called Root-Transformation Matrix (root-T) technique which includes an investigation of its performance against current DOA algorithms such as root-MUSIC and improved-MUSIC. The main objective of this work is to conserve the performance of improved-MUSIC which achieves high DOA estimation accuracy and resolution while reducing the cost of computational complexity. It's shown that the Root-T performs better in low SNR with performance improvement of 86.7% and with closely-spaced signal condition with performance improvement of 96.8% as compared to root-MUSIC without degrading improved-MUSIC performance while reducing mean computational time by 49.5%.

AB - This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) estimator called Root-Transformation Matrix (root-T) technique which includes an investigation of its performance against current DOA algorithms such as root-MUSIC and improved-MUSIC. The main objective of this work is to conserve the performance of improved-MUSIC which achieves high DOA estimation accuracy and resolution while reducing the cost of computational complexity. It's shown that the Root-T performs better in low SNR with performance improvement of 86.7% and with closely-spaced signal condition with performance improvement of 96.8% as compared to root-MUSIC without degrading improved-MUSIC performance while reducing mean computational time by 49.5%.

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KW - MUSIC

KW - Root-MUSIC

KW - ULA (Uniformed Linear Array)

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M3 - Conference contribution

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T3 - 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

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BT - 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 7 July 2019 through 12 July 2019

ER -

Muhammad M, Li M, Abbasi QH, Goh C, Imran M. Direction of arrival estimation using root-transformation matrix technique. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1369-1370. 8889249. (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings). doi: 10.1109/APUSNCURSINRSM.2019.8889249

Direction of arrival estimation using root-transformation matrix technique

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Keywords

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