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평면 배열 안테나 기반의 적응 빔형성 시스템 성능 분석

Performance Analysis of Adaptive Beamforming System Based on Planar Array Antenna

  • 문지윤 (조선대학교 전자공학부) ;
  • 황석승 (조선대학교 전자공학부)
  • 투고 : 2018.11.14
  • 심사 : 2018.12.15
  • 발행 : 2018.12.31

초록

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.

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.

키워드

KCTSAD_2018_v13n6_1207_f0001.png 이미지

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

KCTSAD_2018_v13n6_1207_f0002.png 이미지

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

참고문헌

  1. S. Kwon, D. Kim, S. Moon, J. Lee, S. Bae, H. Kim, Y. Lim, C. Kim, and I. Hwang, "3D Localization for a Launch Vehicle using Virtual TOA, AOA, and TDOA," J. of the Institute of Electronics and Information Engineers, vol. 55, no. 1, 2018, pp. 3-14. https://doi.org/10.5573/ieie.2018.55.1.3
  2. S. Hwang and J. J. Shynk, "Multicomponent Receiver Architectures for GPS Interference Suppression," IEEE Trans. Aerospace and Electronic Systems, vol. 42, no. 2, 2006, pp. 489-502. https://doi.org/10.1109/TAES.2006.1642566
  3. J. Mun, M. Hwang, and S. Hwang, "Performance Evaluation of Satellite System Based on Transmission Beamformer," J. of the Korea Institute of Electronics Communications Sciences, vol. 13, no. 4, 2018, pp. 713-720.
  4. Y. Choi, "MUSIC-Based Direction Finding through Simple Signal Subspace Estimation," J. of the Institute of Electronics and Information Engineers, vol. 48, no. 4, 2011, pp. 153-159.
  5. P. Stoica, P. Handel, and T. Soderstrom, "Study of Capon method for array signal processing," J. of Circuits, Systems and Signal Processing, vol. 14, no. 6, 1995, pp. 749-770. https://doi.org/10.1007/BF01204683
  6. Y. Choi, "Efficient DOA Estimation of Coherent Signals Using ESPRIT," J. of the Institute of Electronics and Information Engineers, vol. 49, no. 9, 2012, pp. 164-171. https://doi.org/10.5573/ieek.2012.49.9.164
  7. S. Hwang, "Output SINR Analysis of GPS Adaptive Interference Canceler Based on Modified Despreader," J. of the Korea Institute of Electronics Communications Sciences, vol. 9, no. 2, 2014, pp. 195-202. https://doi.org/10.13067/JKIECS.2014.9.2.195
  8. C. Hong, C. Kim, S. Whang, and J. Yang, "A Time-Domain GSC Algorithm Based on Wavelet Filter," J. of the Korea Institute of Communications and Information Sciences, vol. 35, no. 11, 2010, pp. 948-956.
  9. K. Lee, "A Study on Overlapped Adaptive Subarray Beamforming LCMV Method for Decrease Side Lobe Level" J. of the Korean Institute of Information Technology, vol. 9, no. 4, 2011, pp. 57-62.
  10. S. Serbetli and A. Yener, "Transceiver Optimization for Multiuser MIMO Systems," IEEE Trans. Signal processing, vol. 52, no. 1, 2004, pp. 214-226. https://doi.org/10.1109/TSP.2003.819988
  11. H. Yang and T. L. Marzetta, "Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems," IEEE J. on Selected Areas in Communications, vol. 31, no. 2, 2013, pp. 172-179. https://doi.org/10.1109/JSAC.2013.130206
  12. J. Mun and S. Hwang, "Input Signal Model Analysis for Adaptive Beamformer," J. of the Korea Institute of Electronics Communications Sciences, vol. 12, no. 3, 2017, pp. 433-438.