Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal

Ha Lim Song; Sung Sik Nam; Young Chai Ko

doi:10.1109/ICUFN.2019.8806061

Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal

Ha Lim Song, Sung Sik Nam, Young Chai Ko

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

3 Citations (Scopus)

Abstract

Angle-of-Arrival (AoA) estimation supports beamforming that controls array beams in a desired direction while eliminating interference signals. In this paper, we propose a blind AoA estimation method with low complexity by applying a monopulse radar processing method to an antenna array. This paper aims to investigate the statistical characteristics of monopulse signal R for the performance analysis. Monopulse signal ratio R is modeled as the ratio of quadratic random variables in the form of \mathrm{x}^{\prime}\mathrm{Ax}/\mathrm{x}^{\prime}\mathrm{Bx}, where A and B are indefinite and positive semidefinite matrices, respectively. In this paper we obtain the probability density function (PDF) of R. Furthermore, we confirm that the monopulse based AoA estimator (MAoA) is comparable to the single-target estimation performance of subspace-based algorithms with high complexity such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance technique (ESPRIT) in terms of mean square error (MSE).

Original language	English
Title of host publication	ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	610-613
Number of pages	4
ISBN (Electronic)	9781728113395
DOIs	https://doi.org/10.1109/ICUFN.2019.8806061
Publication status	Published - 2019 Jul
Event	11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia Duration: 2019 Jul 2 → 2019 Jul 5

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2019-July
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
Country/Territory	Croatia
City	Zagreb
Period	19/7/2 → 19/7/5

Bibliographical note

Funding Information:
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2019-2015-0-00385) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)

Publisher Copyright:
© 2019 IEEE.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

AoA estimation
array processing
beamforming
monopulse

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/ICUFN.2019.8806061

Cite this

Song, H. L., Nam, S. S., & Ko, Y. C. (2019). Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal. In ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks (pp. 610-613). Article 8806061 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2019.8806061

Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal. / Song, Ha Lim; Nam, Sung Sik; Ko, Young Chai.
ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2019. p. 610-613 8806061 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July).

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

Song, HL, Nam, SS & Ko, YC 2019, Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal. in ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks., 8806061, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2019-July, IEEE Computer Society, pp. 610-613, 11th International Conference on Ubiquitous and Future Networks, ICUFN 2019, Zagreb, Croatia, 19/7/2. https://doi.org/10.1109/ICUFN.2019.8806061

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abstract = "Angle-of-Arrival (AoA) estimation supports beamforming that controls array beams in a desired direction while eliminating interference signals. In this paper, we propose a blind AoA estimation method with low complexity by applying a monopulse radar processing method to an antenna array. This paper aims to investigate the statistical characteristics of monopulse signal R for the performance analysis. Monopulse signal ratio R is modeled as the ratio of quadratic random variables in the form of \mathrm{x}^{\prime}\mathrm{Ax}/\mathrm{x}^{\prime}\mathrm{Bx}, where A and B are indefinite and positive semidefinite matrices, respectively. In this paper we obtain the probability density function (PDF) of R. Furthermore, we confirm that the monopulse based AoA estimator (MAoA) is comparable to the single-target estimation performance of subspace-based algorithms with high complexity such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance technique (ESPRIT) in terms of mean square error (MSE).",

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N2 - Angle-of-Arrival (AoA) estimation supports beamforming that controls array beams in a desired direction while eliminating interference signals. In this paper, we propose a blind AoA estimation method with low complexity by applying a monopulse radar processing method to an antenna array. This paper aims to investigate the statistical characteristics of monopulse signal R for the performance analysis. Monopulse signal ratio R is modeled as the ratio of quadratic random variables in the form of \mathrm{x}^{\prime}\mathrm{Ax}/\mathrm{x}^{\prime}\mathrm{Bx}, where A and B are indefinite and positive semidefinite matrices, respectively. In this paper we obtain the probability density function (PDF) of R. Furthermore, we confirm that the monopulse based AoA estimator (MAoA) is comparable to the single-target estimation performance of subspace-based algorithms with high complexity such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance technique (ESPRIT) in terms of mean square error (MSE).

AB - Angle-of-Arrival (AoA) estimation supports beamforming that controls array beams in a desired direction while eliminating interference signals. In this paper, we propose a blind AoA estimation method with low complexity by applying a monopulse radar processing method to an antenna array. This paper aims to investigate the statistical characteristics of monopulse signal R for the performance analysis. Monopulse signal ratio R is modeled as the ratio of quadratic random variables in the form of \mathrm{x}^{\prime}\mathrm{Ax}/\mathrm{x}^{\prime}\mathrm{Bx}, where A and B are indefinite and positive semidefinite matrices, respectively. In this paper we obtain the probability density function (PDF) of R. Furthermore, we confirm that the monopulse based AoA estimator (MAoA) is comparable to the single-target estimation performance of subspace-based algorithms with high complexity such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance technique (ESPRIT) in terms of mean square error (MSE).

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Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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