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 proceedingConference contribution

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 languageEnglish
Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages610-613
Number of pages4
ISBN (Electronic)9781728113395
DOIs
Publication statusPublished - 2019 Jul 1
Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
Duration: 2019 Jul 22019 Jul 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2019-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
CountryCroatia
CityZagreb
Period19/7/219/7/5

Fingerprint

Antenna arrays
Monopulse radar
Signal interference
Beamforming
Invariance
Random variables
Mean square error
Probability density function
Processing

Keywords

  • AoA estimation
  • array processing
  • beamforming
  • monopulse

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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). [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 proceedingConference contribution

Song, HL, Nam, SS & 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., 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
Song HL, Nam SS, Ko Y-C. Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal. In 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). https://doi.org/10.1109/ICUFN.2019.8806061
Song, Ha Lim ; Nam, Sung Sik ; Ko, Young-Chai. / Angle-of-Arrival Estimation in Antenna Arrays based on Monopulse Signal. ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2019. pp. 610-613 (International Conference on Ubiquitous and Future Networks, ICUFN).
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