Abstract
Passive detection of unmanned aerial vehicle (UAV) is an important part of surveillance. Satellite has the potential to play a key role in many applications of space-air-ground integrated networks (SAGIN). In this paper, we propose a novel passive detection method for UAV based on Rao detection. Two hypotheses of UAV detection features are proposed when constructing the signal model. Under this condition, the Rao detection method is extended to weak echo signal detection in a multi-satellite scene. When the noise variance is unknown, two different Rao detectors are designed according to the existence of an interfering target. Moreover, the two detectors’ detection thresholds are obtained given the false alarm probability, respectively. Then, the detection performance of the two detectors is analyzed. Finally, we evaluate the Rao detection performance in different situations with extensive simulations.
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