A recursive sorting method based on multi-station TDOA vector
Lu Yang, Zhian Deng · 2023
With increasingly fierce electronic countermeasures, the modulation methods of radiation source signals are becoming increasingly complex. In the face of complex electromagnetic environments, current signal multi-station collaborative sorting algorithms have problems such as high difficulty in data fusion and low sorting accuracy. To address the above issues, this paper proposes a recursive sorting method based on the multi-station time difference vector. Firstly, the location information of the reconnaissance station is used for time difference constraints, and then the multi-parameter Euclidean distance of the pulses is combined to accurately match the multi-station pulses. Finally, based on the distance average of the k-nearest neighbors of the time difference vector, the pulses within the range threshold are merged, the time difference center is updated in real time, and the pulses are recursively extracted and sorted. Simulation results show that the proposed algorithm has a high sorting accuracy.