A Novel Approach For Radar PRI Classification Based on Features Estimation

Abstract

Pulse Repetition Interval (PRI) timing and its modulation types are significant features of any Radar to comprehend its capabilities and functionalities. In this paper, an algorithm has been proposed to classify PRI modulation by estimating features from time of arrival (ToA) and its difference (dToA) of a pulse radar. Performance of the proposed algorithm is also verified for different PRI modulations with different percentage of missing pulses. PRI modulation type classified covers Dwell and Switch (DS) of 2 to 64 level, Staggered PRI of 2 to 64 levels, Jittered PRI with 20% Gaussian deviation and Sliding PRI. Estimation of features is improved by selection of an optimal window of histogram. Level of staggered/ DS PRI has also been estimated using Kernel Density Estimator (KDE) with an epanechnikov window with length $N^{0.8}$ where, N is total count of dToA. Upon classification, PRI estimation for each modulation type is also estimated.