A Window-Based Approach for PRI Type Recognition in Streaming Data
Abstract
Pulse Repetition Interval (PRI) type detection is a fundamental step in radar identification. Therefore, many methods have been proposed for PRI type identification. In this study, a new online sliding window-based PRI type detection method is proposed. Initially, the method takes the hyperparameters of window size and window shifting amount from the operator. The method then waits for data to be collected until the number of incoming data samples reaches 1.5 times the window size. The window is shifted over the Difference of Time of Arrival parameter of the incoming Pulse Descriptor Word data and the PRI type is determined according to the change characteristics within the window. The experiments are performed on 13 different datasets containing possible scenarios of PRI types. The results of the experiments show that proposed method can distinguish between constant, dwell&switch, sliding-up, and sliding-down PRI types.
Keywords
pulse repetition interval (PRI), streaming data, constant PRI, dwell&switch PRI, sliding window, electronic warfare
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