Title :
Channel estimation in low SNR environments using chirp signals and joint time-frequency filters
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
Abstract :
A novel method to estimate an unknown linear time invariant (LTI) channel in low signal-to-noise ratio (SNR) environment is proposed. 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 the noise before estimation
Keywords :
filtering theory; iterative methods; parameter estimation; signal processing; time-frequency analysis; time-varying channels; SNR; channel estimation; channel identification; chirp signals; iterative time-variant filtering; joint time-frequency domain; joint time-frequency filters; linear time invariant channel; linear time-variant filters; low SNR environments; noise reduction; receiver; transmitter; Additive noise; Channel estimation; Chirp; Filtering; Frequency estimation; Gabor filters; Noise reduction; Signal processing; Signal to noise ratio; Time frequency analysis;
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
DOI :
10.1109/MMSP.1997.602665
