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Performance of direction-of-arrival estimation of SpSF in frequency domain: in case of non-uniform sensor array

주파수 영역으로 구현한 SpSF알고리듬: 비균일 센서 환경에서의 도래각 추정 성능

  • 백지웅 (세종대학교 정보통신공학과) ;
  • ;
  • 홍우영 (세종대학교 국방시스템공학과) ;
  • 홍정표 (국방과학연구소) ;
  • 김성일 (국방과학연구소) ;
  • 이준호 (세종대학교 정보통신공학과)
  • Received : 2020.03.16
  • Accepted : 2020.05.13
  • Published : 2020.05.31

Abstract

Currently, studies on the estimation algorithm based on compressive sensing are actively underway, but to the best of our knowledge, no study on the performance of the Sparse Spectrum Fitting (SpSF) algorithm in nonuniform sensor arrays has been made. This paper deals with the derivation of the compressive sensing based covariance fitting algorithm extended to the frequency domain. In addition, it shows the performance of directon-of-arrival estimation of the frequency domain SpSF algorithm in non-uniform linear sensor array system and the sensor array failure situation.

현재 압축센싱 기반 도래각 추정 알고리듬의 연구는 활발히 진행 중이나 비균일 센서 배열 기반 공분산 fitting 알고리듬의 성능에 대한 연구는 진행되지 않았다. 본 논문에서는 주파수 영역으로 확장된 압축센싱 기반 공분산 fitting 알고리듬의 유도과정을 다루며 센서배열이 비균일하게 배치된 경우와 센서배열의 일부 소자에 고장이 발생한 경우에 대한 해당 알고리듬의 도래각 추정 성능을 비교하였다.

Keywords

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