This article mainly obtains the position data and attitude information of anti-drone equipment through GPS/INS combined external guidance device, combined with target position data provided by active detection equipment such as radar, and applies Kalman filtering theory to preprocess external guidance data. After receiving target data, anti-drone equipment can judge and eliminate jump and garbled data and predict the current position of the target based on data transmission delay. At the same time, when the data volume is less than 10Hz, interpolation or smoothing can be performed on the target data to ensure the accuracy and continuity of the guidance information, and ultimately obtain the accurate position information of the target. Simulation and experimental results show that the external guidance of anti-drone equipment based on GPS/INS combination can achieve rapid search, recognition, and capture of unknown directional targets.
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