一种机载GMTI雷达点迹凝聚方法研究

Research on Plots Centroid Algorithm for Airborne GMTI Radar

机载GMTI雷达对地面运动目标探测时,由于目标在距离和方位向扩散严重,在进行目标凝聚时难以获取目标的精确位置,导致目标跟踪精度差、虚警率高,难以满足实际使用需求。针对这一难题,本文提出了一种针对机载GMTI雷达原始点迹的凝聚方法,首先基于构建的点扩散函数对目标进行信号幅度复原处理,再进行点迹质心凝聚,并对凝聚后的点迹进行二次检测,对检测后的凝聚点迹进行跟踪处理。通过对实际飞行数据进行分析处理,验证了本方法对提升目标跟踪精度、降低跟踪虚警率的有效性。

When airborne GMTI radar detects ground moving target,the target spreading seriously in the range and azimuth direction makes it difficult to obtain the precise position of target during plot centroid,which leads to poor tracking accuracy and high false alarm rate,so it is difficult to meet the actual use requirements.In order to solve the problem,this paper proposes a centroid algorithm for the original plot of airborne GMTI radar.Firstly,the signal intensity of the target is restored based on the plot spread function,than the centroid condensation is carried out,and the condensed plot is detected for the second time.The detected condensed plot participates in the tracking processing.Through the analysis and processing of actual flight data,this algorithm can effectively improve the track quality and reduce the false alarm rate.