A range external data smoothing algorithm based on dynamic threshold and adaptive interpolation

DOI:	10.11809/bqzbgcxb2024.04.032
Keywords:	photoelectric theodolite; range measurement and control; external guidance data; outlier detection; interpolation algorithm
Abstract:	In order to realize the real time smoothing of the external guidance data of the photoelectric theodolite and ensure the stable image acquisition by the photoelectric theodolite driven by the external guidance data, this paper proposes an outfield processing method based on the dynamic threshold and an adaptive interpolation processing algorithm. Firstly, for outliers in the external guidance data, a method of dynamically calculating sample variance using influence function is proposed, and a dynamic discriminant threshold is constructed to process outliers in real time. Secondly, for the interpolation processing of the external guide data, the coherence of the interpolation calculation is judged, and the external guide ‘stuck’ data is classified, and different strategies are adopted, so as to adapt the real time interpolation according to the data situation. The experimental results show that the average outlier detection rate is over 80% and the false alarm rate is low by the five point extrapolation outlier elimination method based on dynamic threshold. The interpolation processing algorithm can deal with both stuck and non stuck external guidance data, and the processing results are smooth and coherent. At present, the algorithm has been successfully applied to the main control computer of the photoelectric theodolite in a naval observation station, which meets the needs of the ballistic measurement system of the shooting range.
Published:	2024-04-30
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