Angle-of-Arrival Estimation Technique for Fast Beamforming Using Monopulse Signal in the Antenna Array Systems

Ha Lim Song; Sung Sik Nam; Young Chai Ko

doi:10.1109/ACCESS.2021.3095127

Angle-of-Arrival Estimation Technique for Fast Beamforming Using Monopulse Signal in the Antenna Array Systems

Ha Lim Song, Sung Sik Nam, Young Chai Ko^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper we propose an anlge-of-arrival (AoA) estimation technique using the monopulse signal to achieve a reliable link for the ground-to-unmanned aerial vehicle (UAV) or UAV-to-UAV. We first find the exact statistical characteristics of the monopulse signal, which is the random variable as a form of the ratio between the uncorrelated quadratic random variables with non-zero means. Specifically, we derive the probability density function (PDF) and the cumulative distribution function (CDF) of the monopulse signal in antenna array in closed-form. Then using the statistical characteristics of the monopulse signal, we develop the adaptive AoA estimator, which can be applied to fast beamforming with high accuracy. Based on our exact analytical results, we derive the mean squared error (MSE) performance of the proposed method. We show from our simulations that the proposed method achieves better performance with relatively less complexity and overhead than other conventional methods.

Original language	English
Article number	9475462
Pages (from-to)	95346-95359
Number of pages	14
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3095127
Publication status	Published - 2021

Bibliographical note

Funding Information:
This work was supported in part by the Gachon University Research Fund of 2019 under Grant GCU-2019-2019-0770, and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF-2020R1A4A1019628.

Publisher Copyright:
© 2013 IEEE.

Keywords

AoA estimation
directional beamforming
monopulse signal
UAV communications

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

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10.1109/ACCESS.2021.3095127

Cite this

@article{a289258cf5404f098ec4796e65d19a32,

title = "Angle-of-Arrival Estimation Technique for Fast Beamforming Using Monopulse Signal in the Antenna Array Systems",

abstract = "In this paper we propose an anlge-of-arrival (AoA) estimation technique using the monopulse signal to achieve a reliable link for the ground-to-unmanned aerial vehicle (UAV) or UAV-to-UAV. We first find the exact statistical characteristics of the monopulse signal, which is the random variable as a form of the ratio between the uncorrelated quadratic random variables with non-zero means. Specifically, we derive the probability density function (PDF) and the cumulative distribution function (CDF) of the monopulse signal in antenna array in closed-form. Then using the statistical characteristics of the monopulse signal, we develop the adaptive AoA estimator, which can be applied to fast beamforming with high accuracy. Based on our exact analytical results, we derive the mean squared error (MSE) performance of the proposed method. We show from our simulations that the proposed method achieves better performance with relatively less complexity and overhead than other conventional methods. ",

keywords = "AoA estimation, directional beamforming, monopulse signal, UAV communications",

author = "Song, \{Ha Lim\} and Nam, \{Sung Sik\} and Ko, \{Young Chai\}",

note = "Funding Information: This work was supported in part by the Gachon University Research Fund of 2019 under Grant GCU-2019-2019-0770, and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF-2020R1A4A1019628. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2021",

doi = "10.1109/ACCESS.2021.3095127",

language = "English",

volume = "9",

pages = "95346--95359",

journal = "IEEE Access",

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AU - Song, Ha Lim

AU - Nam, Sung Sik

AU - Ko, Young Chai

N1 - Funding Information: This work was supported in part by the Gachon University Research Fund of 2019 under Grant GCU-2019-2019-0770, and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF-2020R1A4A1019628. Publisher Copyright: © 2013 IEEE.

PY - 2021

Y1 - 2021

N2 - In this paper we propose an anlge-of-arrival (AoA) estimation technique using the monopulse signal to achieve a reliable link for the ground-to-unmanned aerial vehicle (UAV) or UAV-to-UAV. We first find the exact statistical characteristics of the monopulse signal, which is the random variable as a form of the ratio between the uncorrelated quadratic random variables with non-zero means. Specifically, we derive the probability density function (PDF) and the cumulative distribution function (CDF) of the monopulse signal in antenna array in closed-form. Then using the statistical characteristics of the monopulse signal, we develop the adaptive AoA estimator, which can be applied to fast beamforming with high accuracy. Based on our exact analytical results, we derive the mean squared error (MSE) performance of the proposed method. We show from our simulations that the proposed method achieves better performance with relatively less complexity and overhead than other conventional methods.

AB - In this paper we propose an anlge-of-arrival (AoA) estimation technique using the monopulse signal to achieve a reliable link for the ground-to-unmanned aerial vehicle (UAV) or UAV-to-UAV. We first find the exact statistical characteristics of the monopulse signal, which is the random variable as a form of the ratio between the uncorrelated quadratic random variables with non-zero means. Specifically, we derive the probability density function (PDF) and the cumulative distribution function (CDF) of the monopulse signal in antenna array in closed-form. Then using the statistical characteristics of the monopulse signal, we develop the adaptive AoA estimator, which can be applied to fast beamforming with high accuracy. Based on our exact analytical results, we derive the mean squared error (MSE) performance of the proposed method. We show from our simulations that the proposed method achieves better performance with relatively less complexity and overhead than other conventional methods.

KW - AoA estimation

KW - directional beamforming

KW - monopulse signal

KW - UAV communications

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DO - 10.1109/ACCESS.2021.3095127

M3 - Article

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SN - 2169-3536

VL - 9

SP - 95346

EP - 95359

JO - IEEE Access

JF - IEEE Access

M1 - 9475462

ER -

Angle-of-Arrival Estimation Technique for Fast Beamforming Using Monopulse Signal in the Antenna Array Systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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