Use of cluster analysis method to increase the efficiency and accuracy of radar data processing

The article presents a range of solutions to improve the efficiency and accuracy of multiradar data processing using cluster analysis method. For this purpose commend to use cluster analysis method, based on which authors made an improvement for the classical abnormal measurement rejection algorithm and consider a possibility to implement a multithread processing of radar data.

For parallelizing of radar data processing proposed the radar separation method by using the cluster analysis method. This leads to reduction of load on the computing power of radar system and reduces the time required for processing.

On the base of developed program has been received the improvement of radar data processing accuracy on value about 10%. As a result the new algorithm is able to work under regular occurrence of abnormal emissions and does not require a full vector of measured data for correct working.

Compared to existing solutions, methods and algorithms suggested by the authors support the current trend that towards to multithreaded data processing and are based on the new methods of intellectual analysis.

 These solutions are assigned for use in perspective systems of radar data collecting and processing.