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Performance Analysis of Adaptive Beamforming System Based on Planar Array Antenna

평면 배열 안테나 기반의 적응 빔형성 시스템 성능 분석

  • 문지윤 (조선대학교 전자공학부) ;
  • 황석승 (조선대학교 전자공학부)
  • Received : 2018.11.14
  • Accepted : 2018.12.15
  • Published : 2018.12.31

Abstract

The signal intelligence (SIGINT) technology is actively used for collecting various data, in a number of fields, including a military industry. In order to collect the signal information and data and to transmit/receive the collected data efficiently, the accurate angle-of-arrival (AOA) information is required and communication disturbance from the interference or jamming signal should be minimized. In this paper, we present the structure of an adaptive beam-forming satellite system based on the planar array antenna, for collecting and transmitting/receiving the signal information and data efficiently. The presented adaptive beam-forming system consists of an antenna in the form of a planar array, an AOA estimator based on the Multiple Signal Classification (MUSIC) algorithm, an adaptive Minimum Variance Distortionless Response (MVDR) interference canceler, a signal processing and D/B unit, and a transmission beamformer based on Minimum mean Square Error (MMSE). In addition, through the computer simulation, we evaluate and analyze the performance of the proposed system.

신호정보 수집(: Signal Intelligence, SIGINT) 기술은 군수산업을 비롯한 여러 분야에서 다양한 데이터 수집을 목적으로 활발하게 사용되고 있다. 효율적으로 신호정보 및 데이터를 수집하고 수집된 데이터를 송/수신하기 위해서는 신호의 정확한 도래각 정보가 필요하고, 간섭 또는 재밍 신호로부터의 통신 방해가 최소화되어야 한다. 본 논문에서는 효율적으로 신호정보 및 데이터를 수집하고 송/수신하기 위한, 평면 배열 안테나 기반의 적응 빔형성 위성 시스템 구조를 소개한다. 제시된 적응 빔형성 시스템은 폄면 배열 형태의 안테나, MUSIC(: Multiple Signal Classification) 알고리즘 기반의 도래각 추정기, MVDR(: Minimum Variance Distortionless Response) 간섭 제거기, 신호처리 및 D/B 유닛, MMSE(: Minimum Mean Square Error) 기반의 송신 빔형성기 등으로 구성되어 있다. 또한, 컴퓨터 시뮬레이션을 통해, 제시된 시스템의 성능을 평가하고 분석한다.

Keywords

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그림 1. 신호정보 수집 위성 시스템 구조 Fig. 1 Architecture of SIGINT satellite system

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그림 2. 첫 번째 시나리오의 MVDR 빔형성기에 대한 출력 SINR Fig. 2 Output SINR of the MVDR beamformer for the first scenario

KCTSAD_2018_v13n6_1207_f0003.png 이미지

그림 3. 첫 번째 시나리오의 MMSE 빔형성기에 대한 출력 SINR Fig. 3 Output SINR of the MMSE beamformer for the first scenario

KCTSAD_2018_v13n6_1207_f0004.png 이미지

그림 4. 두 번째 시나리오의 MVDR 빔형성기에 대한 출력 SINR Fig. 4 Output SINR of the MVDR beamformer for the second scenario

KCTSAD_2018_v13n6_1207_f0005.png 이미지

그림 5. 두 번째 시나리오의 MMSE 빔형성기에 대한 출력 SINR Fig. 5 Output SINR of the MMSE beamformer for the second scenario

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