A detection algorithm of LPI radar signals

Abstract

Low Probability Intercept (LPI) signals are a class of radar signals that possess certain features (low power, wide bandwidth, frequency variability, ...) that make them difficult detectable by today's intercept receivers. The paper describes implementation of a LPI radar signal detection algorithm based on two-dimensional signal representation, noise reduction, features vector extraction and a Radial Basis Function (RBF) neural network probability density function estimator which is used for the final LPI signal detection. The numerical simulation results for detection of the chirp signal are presented.