다수 간섭 표적 환경에 강인한 자동검열 셀 평균(ACCA) 정렬 데이터 이동 평균 (ODMA) 일정오경보확률(CFAR) 검출기

초록

The previously proposed automatic censoring cell average (ACCA) -ordered data variability (ODV) constant false alarm rate (CFAR) detector assumes that the pre-determined number of cells among the reference cells are homogeneous and censors cells containing interference target. However, detection performance deteriorates when there are many interference targets in the reference cells and the number of homogeneous cells that do not contain interference targets is less than the predetermined number. In this paper, a novel ACCA-ordered data moving average (ODMA) CFAR detector is proposed, which first determines the homogeneity or non-homogeneity of the reference cell based on the variability index (VI). If it is determined as homogeneous, censoring is stopped. Otherwise, reference cells are censored by using moving average technique. The cell average (CA)-CFAR detector determines the presence or absence of a target in the test cell using the remaining reference cells after the above censoring. Simulation results show that the ACCA-ODMA CFAR detector has better detection performance than the ACCA-ODV CFAR detector in the presence of a large number of interference target signals.

키워드