A Recognition Algorithm for Complicated Radar PRI Modulation Modes Based on Normalized Autocorrelation Function
SHI Zhongya
WU Hua
ZHOU Yipeng
CHEN You
SHEN Wendi
Abstract:In order to recognize complicated PRI modulation modes,a classify algorithm based on autocorre-lation and normalization is proposed.The algorithm defines three characteristic quantities,i.e.density of peak value,intension of monotone and energy of sequence,and the paper sets up feature space after mak-ing autocorrelation and normalization to four PRI impulse sequences.By comparing the characteristic quali-ty with the threshold value,PRI modulation mode can recognize automatically.The result shows that the recognition accuracy can reach to 95% when the numbers of pulse are 100 and the SNR is 4 dB,and the recognition accuracy can reach 95.5% when the numbers of pulse are only 80.The algorithm can maintain more than 93% of accuracy when the ratio of the pulse?losing reaches 25% and the numbers of impulse are 100.
Keywords:PRI modulation modeautocorrelation functionrecognition of radar emitterfeature extrac-tionnormalization
Publication Date:2016-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:6( 59-64 )

PKUISTIC
ISSN:1009-3516
Year, Vol.(Issue):2016,17(5)