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The article presents a range of solutions to improve the efficiency and accuracy of multiradar data processing. For this purpose the method of cluster analysis is proposed, basing on which, authors have made an improvement to the classical algorithm of the rejection of abnormal measurements and considered a possibility for implementing a multithread processing of radar data. For paralleling the radar data processing, the method of the separation of radar stations with the use of the cluster analysis method is proposed. This leads to the reduction of load on the computing power of radar system and reduces the time required for data processing. On the basis of the developed program, the accuracy of radar data processing has been improved by about 10 %. As a result, the new algorithm is able to work under the regular occurrence of abnormal emissions and does not require a whole set of measured data for correct work. Being compared to existing solutions, methods and algorithms suggested by the authors support the current trend towards multithreaded data processing and are based on the new methods of intellectual analysis. These solutions are assigned for the use in future systems of collecting and processing the radar data.

Use of Cluster Analysis Method to Increase the Efficiency and Accuracy of Radar Data Processing