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Performance Evaluation of Target Detection with a Near-Space Vehicle-Borne Radar in Blackout Condition

机译:停电条件下近空车载雷达对目标检测的性能评估

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Radar is a very important sensor in surveillance applications. Near-space vehicle-borne radar (NSVBR) is a novel installation of a radar system, which offers many benefits, like being highly suited to the remote sensing of extremely large areas, having a rapidly deployable capability and having low vulnerability to electronic countermeasures. Unfortunately, a target detection challenge arises because of complicated scenarios, such as nuclear blackout, rain attenuation, etc. In these cases, extra care is needed to evaluate the detection performance in blackout situations, since this a classical problem along with the application of an NSVBR. However, the existing evaluation measures are the probability of detection and the receiver operating curve (ROC), which cannot offer detailed information in such a complicated application. This work focuses on such requirements. We first investigate the effect of blackout on an electromagnetic wave. Performance evaluation indexes are then built: three evaluation indexes on the detection capability and two evaluation indexes on the robustness of the detection process. Simulation results show that the proposed measure will offer information on the detailed performance of detection. These measures are therefore very useful in detecting the target of interest in a remote sensing system and are helpful for both the NSVBR designers and users.
机译:雷达是监视应用中非常重要的传感器。近空间车载雷达(NSVBR)是一种新颖的雷达系统,具有许多优点,例如非常适合于超大面积的遥感,可快速部署的能力以及对电子对策的脆弱性低。不幸的是,由于复杂的场景(例如核停电,雨水衰减等),目标检测面临挑战。在这些情况下,需要特别小心以评估停电情况下的检测性能,因为这是经典问题以及应用中的难题。 NSVBR。但是,现有的评估方法是检测概率和接收器工作曲线(ROC),在如此复杂的应用中无法提供详细信息。这项工作着眼于此类要求。我们首先研究中断对电磁波的影响。然后建立性能评估指标:关于检测能力的三个评估指标和关于检测过程的鲁棒性的两个评估指标。仿真结果表明,所提出的措施将为检测的详细性能提供信息。因此,这些措施对于检测遥感系统中的目标非常有用,并且对NSVBR设计人员和用户都有帮助。

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