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Study on Space-Time Adaptive Processing Based on Novel Clutter Covariance Matrix Estimation Using Median Value

중위수를 이용한 새로운 간섭 공분산 행렬의 예측이 적용된 Space-Time Adaptive Processing에 대한 연구

  • Kang, Sung-Yong (Department of Computer and Radio Communication Engineering, Korea University) ;
  • Jeong, Ji-Chai (Department of Computer and Radio Communication Engineering, Korea University)
  • 강성용 (고려대학교 컴퓨터.전파통신공학과) ;
  • 정지채 (고려대학교 컴퓨터.전파통신공학과)
  • Published : 2010.01.31

Abstract

In this paper, we presented a signal model of STAP and actual environment of clutter. The novel estimation method of clutter covariance matrix using median value is proposed to overcome serious performance degradation after NHD in nonhomogeneous clutter. Eigen value characteristic is improved through diagonal loading. Target detection ability and SINR loss of the proposed method though MSMI statistic is also compared with conventional method using average value. The simulation results, confirm the proposed method has better performance than others.

본 논문은 space-time signal processing(STAP)의 신호 모델과 불균일한 클러터 환경을 제시하고 이를 극복하고자 연구된 nonhomogeneity detector(NHD)의 사용 이후에도 일어나는 심각한 성능 저하를 극복하고자 중위수(median)를 이용한 간섭 공분산 행렬의 새로운 예측 방법을 제시하였다. 또한 대각 로드(diagonal loading)를 적용하여 고유값(eigen value) 특성을 개선시켰으며 signal to interference plus noise ratio(SINR) 손실을 계산하여 비교하였다. 마지막으로 modified sample matrix inversion(MSMI) 통계량으로 목표물 검출 능력을 비교한 결과 제시된 방법이 평균값(average)으로 정의된 기존의 방법보다 우수한 성능을 보임을 확인하였다.

Keywords

References

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