CAJ | 학술논문

强地杂波下的弱固定目标检测是机场跑道异物监测雷达需解决的关键问题之一，传统的恒虚警检测算法在多目标环境下会出现“自屏蔽”效应，不能有效地检测到目标。本文提出了一种剔除平均杂波图恒虚警检测算法，在分析系统特性和跑道环境的基础上，结合调频连续波雷达体制建立了多目标回波信号模型。在剔除若干个样本值后，由余下的样本值估计背景杂波强度，对多次连续扫描测量值作递归滤波处理，获得了平稳的检测门限，有效地检测到了目标。最后，进一步讨论了相关参数对检测性能的影响。
강지잡파하적약고정목표검측시궤장포도이물감측뢰체수해결적관건문제지일，전통적항허경검측산법재다목표배경하회출현“자병폐”효응，불능유효지검측도목표。본문제출료일충척제평균잡파도항허경검측산법，재분석계통특성화포도배경적기출상，결합조빈련속파뢰체체제건립료다목표회파신호모형。재척제약간개양본치후，유여하적양본치고계배경잡파강도，대다차련속소묘측량치작체귀려파처리，획득료평은적검측문한，유효지검측도료목표。최후，진일보토론료상관삼수대검측성능적영향。
Detection of weak targets in heavy ground clutter is one of key issues for Foreign Object Debris (FOD) surveillance radar on runways. Because of “Shelf-shielding” effect, traditional CFAR detection algorithms cannot effectively detect targets in multiple target environments. A method of trimmed-mean clutter-map CFAR detection is proposed. First, multiple targets echo model of Frequency Modulation Continue Wave (FMCW) radar based on the scenarios of airport runways and characteristics of radar system is established. Then, the largest samples in referencing cells are removed and mean of remaining samples is the clutter-level estimation. To obtain a stable detection threshold to detect targets, the clutter-map cells are updated scan-by-scan. At last, further analysis of main factors which affects detection performance of this algorithm is studied.