Product spectrum matrix feature extraction and recognition of radar deception jamming

Abstract

A deception jamming recognition algorithm is proposed based on product spectrum matrix (SPM). Firstly, the product spectral in the different pulse repetition interval (PRI) is calculated, and the product spectral of frequency-slow time is arranged into a two-dimensional matrix. Secondly, non-negative matrix factorisation (NMF) is used to extract the features, and further the separability of the characteristic parameters is analysed by the F-Ratio. Finally, the best features are selected to recognise the deception jamming. The experimental results show that the average recognition accuracy of the proposed deception jamming algorithm is higher than 90% when SNR is greater than 6dB.