基于俯仰维信息的机载气象雷达目标检测

Meteorological Target Detection Algorithm for Airborne Weather Radar Using Elevation Information

机载气象雷达系统能够在飞行中实现对气象目标的探测。然而,近地气象目标易受到强地杂波干扰,从而导致目标信息的缺失和检测虚警。为了实现地杂波背景中气象目标的准确检测,本文提出了一种基于俯仰通道干涉相位的空域气象目标检测技术。首先利用俯仰双通道系统获取雷达回波数据,经过多视处理后生成干涉相位图,对干涉相位图进行干涉相位补偿后得到待检测的干涉相位数据;然后将干涉相位作为检验统计量,解析高斯杂波背景下地杂波与气象目标的干涉相位统计特性;最后嵌入该统计特性至恒虚警率检测器中,实现气象目标的鲁棒检测。多组仿真与实测数据处理结果表明,相较于其他气象目标检测方法,所提方法具有更高的检测概率和更好的鲁棒性。

Airborne weather radar system can realize the detection of meteorological target during the flight.However,near-ground meteorological target may be submerged in ground clutter,which can lead to the loss of target information and the false alarm detection.To detect the meteorological target within ground clutter accurately,a spatial domain detection algorithm for meteorological target is proposed in this paper based on the interferometric phase information collected by elevation channels.Firstly,radar data is obtained by dual-channel system deployed in elevation and consequently we can acquire the interferometric phase diagram(InPD)via multi-look processing.Moreover,interferometric phase compensation is implemented on InPD to generate the interfe-rometric phase under test.Then,the interferometric phase in InPD is employed as the test statistic.This study researches the statistics of interferometric phase in the case that ground clutter is complex Gaussian distributed.According to the statistical characteristics,a constant false-alarm rate detector is designed to achieve meteorological target detection.Simulation and experimental results are presented to demonstrate that the proposed algorithm shows increased probability of detection and great robustness compared to most of the current detection methods for meteorological target.