An anti-unmanned aerial vehicle system target detection method based on multi-source heterogeneous data fusion

Abstract

This invention discloses a target detection method for anti-drone systems based on multi-source heterogeneous data fusion, comprising the following steps: Step 1: fusing target information detected by radar and radio detection, and filtering out false alarm information from non-radio sources; Step 2: determining whether the target fused and filtered in Step 1 is a low-altitude flight target based on civil aircraft information received by ADS-B, retaining low-altitude flight targets and filtering out civil aircraft; Step 3: traversing the results of Step 2 based on the real-time three-dimensional coordinate information of the IFF module and comparing them with the real-time three-dimensional coordinate information of the IFF module, setting distance and altitude thresholds in three-dimensional space, marking targets outside the thresholds as non-cooperative targets, and otherwise marking them as cooperative targets; Step 4: after preliminary target confirmation through the first three steps, transmitting the target's position information to an optoelectronic device to guide the optoelectronic device; after the optoelectronic device is guided to align with the target, image detection is performed.

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