Title :
Automatic recognition of multiple interferences and signals in the same channel based on ICA
Author :
Zhou Zhiyu ; Chen Hao ; Liu Ningning
Author_Institution :
Nat. Key Lab. of Space Microwave Technol., China Acad. of Space Technol. (Xi´an), Xi´an
Abstract :
It is a common problem in practice that automatic recognition of multiple interferences and signals in the same channel. This paper presents an automatic recognition method to deal with the problem of 2 signals (QPSK and 4FSK) and 4 interferences (single tone, multi-tone, gauss interference and pulse interference) mixing in the same channel. FastICA algorithm is adopted to separate the mixed interference signals at first, and then select the features of each signal and interference in time domain, frequency domain, high-order cumulant domain and time-frequency domain to complete the recognition of the interference signals. Finally, the computer simulation proves the automatic recognition algorithm´s correctness and validity.
Keywords :
frequency shift keying; independent component analysis; interference (signal); quadrature phase shift keying; signal processing; 4FSK; Gauss interference; frequency shift keying; independent component analysis; interference recognition; pulse interference; quadrature phase shift keying; signal recognition; ICA; Interferences recognition signal recognition; blind signal separation; mixture in the same channel;
Conference_Titel :
Radar Conference, 2009 IET International
Conference_Location :
Guilin
Print_ISBN :
978-1-84919-010-7