Performance Evaluation of Target Detection with a Near-Space Vehicle-Borne Radar in Blackout Condition
AbstractRadar 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. View Full-Text
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Li, Y.; Li, X.; Wang, H.; Deng, B.; Qin, Y. Performance Evaluation of Target Detection with a Near-Space Vehicle-Borne Radar in Blackout Condition. Sensors 2016, 16, 64.
Li Y, Li X, Wang H, Deng B, Qin Y. Performance Evaluation of Target Detection with a Near-Space Vehicle-Borne Radar in Blackout Condition. Sensors. 2016; 16(1):64.Chicago/Turabian Style
Li, Yanpeng; Li, Xiang; Wang, Hongqiang; Deng, Bin; Qin, Yuliang. 2016. "Performance Evaluation of Target Detection with a Near-Space Vehicle-Borne Radar in Blackout Condition." Sensors 16, no. 1: 64.
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