Classification of LFM radar signals based on the wavelet decomposition and the neural LVQ classifier

The paper presents a novel approach, based on wavelet decomposition, to automatic classification of signals with the linear frequency modulation (LFM), generated by a radar emitter. The goal of radar transmitter classification is to determine the particular transmitter from which a signal originated, using only the received waveform. To categorise a current signal to the particular transmitter, the discrete wavelet decomposition of the signal is accomplished. The Learning Vector Quantisation (LVQ) algorithm is proposed as the intelligent classification algorithm.