DOI QR코드

DOI QR Code

메시브 배열 안테나 형상에 따른 캐스케이드 도래각 추정 알고리즘의 계산 복잡도 분석

Computational Complexity Analysis of Cascade AOA Estimation Algorithm Based on Massive Array Antenna Configuration

  • Tae-yun Kim (Institute of AI Convergence, Chosun University) ;
  • Suk-seung Hwang (Interdisciplinary Program in IT-Bio Convergence System, School of Electronic Engineering, Chosun University)
  • 투고 : 2024.08.08
  • 심사 : 2024.09.04
  • 발행 : 2024.09.15

초록

In satellite systems, efficient communication and observation require identifying of specific signal arrival points using onboard antenna systems. When utilizing massive array antennas to estimate the angle of arrival (AOA) of signals, traditional high-performance AOA estimation algorithms such as Multiple Signal Classification (MUSIC) encounter extremely high complexity due to the numerous individual antenna elements. Although, in order to improve this computational complexity problem, the cascade AOA estimation algorithm with CAPON and beamspace-MUSIC was recently proposed, the comparison of the computational complexity of the proposed algorithm across different massive array antenna configurations has not yet been conducted. In this paper, we provide the analyzed results of the computational complexity of the proposed cascade algorithm based on various massive array antennas, and determine an optimal antenna configuration for the efficient AOA estimation in satellite systems.

키워드

과제정보

이 이논문은 2024년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업입(NRF-2022R1A6A3A01087346). 이 논문은 2024년도 조선대학교 연구비의 지원을 받아 연구되었음.

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