DocumentCode :
1407343
Title :
System identification using chirp signals and time-variant filters in the joint time-frequency domain
Author :
Xia, Xiang-Gen
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
Volume :
45
Issue :
8
fYear :
1997
fDate :
8/1/1997 12:00:00 AM
Firstpage :
2072
Lastpage :
2084
Abstract :
We propose a novel method to identify an unknown linear time invariant (LTI) system in low signal-to-noise ratio (SNR) environment. The method is based on transmitting chirp signals for the transmitter and using linear time-variant filters in the joint time-frequency (TF) domain for the receiver to reduce noise before identification. Due to the TF localization property of chirp signals, a large amount of additive white noise can be reduced, and therefore, the SNR before identification can be significantly increased. This, however, cannot be achieved in the conventional methods, where pseudo-random signals are used, and therefore, noise reduction techniques do not apply. Our simulation results indicate that the method proposed outperforms the conventional methods significantly in a low SNR environment. This paper provides a good application of time-frequency analysis and synthesis
Keywords :
Gaussian noise; filtering theory; identification; linear systems; random processes; signal processing; signal synthesis; time-frequency analysis; time-varying filters; white noise; AWGN; SNR; additive white Gaussian noise; chirp signals; joint time-frequency domain; linear time invariant system; linear time variant filters; low signal to noise ratio; noise reduction; pseudorandom signals; receiver; signal processing; simulation results; system identification; time-frequency analysis; time-frequency localization property; time-frequency synthesis; transmitter; Additive white noise; Chirp; Noise reduction; Nonlinear filters; Signal processing; Signal to noise ratio; System identification; Time frequency analysis; Transmitters; Working environment noise;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.611210
Filename :
611210
Link To Document :
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