Paper Info
Title
Channel Estimation Using Time-Frequency Techniques
Abstract
We propose the use of time-varying signals and time-frequency techniques to estimate fast fading channels with unknown state information. Specifically, we apply the reassigned spectrogram to estimate multiple sinusoids resulting from transmitting and processing two linear frequency-modulated (FM) chirp pilots. The estimation procedure is complicated by the need to pair sinusoids resulting from the same multipath. This problem is overcome using a single nonlinear FM chirp pilot with power characteristics. The channel estimation simplifies to estimating linear FM chirps which we perform using the modified matching pursuit decomposition algorithm. Simulations demonstrate the increased estimation performance when pilot signals with nonlinear structures are used instead of linear structured ones.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1416058
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
tv,time frequency analysis,multipath,chirp,time frequency,frequency modulation,channel state information,spectrogram,iterative methods,fading channel,parameter estimation,signal processing,fading,matching pursuit
Multipath propagation,Signal processing,Computer science,Fading,Artificial intelligence,Estimation theory,Channel state information,Pattern recognition,Spectrogram,Algorithm,Speech recognition,Chirp,Frequency modulation
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.40
References 
Authors
4
2
Name
Order
Citations
PageRank
Hao Shen122432.93
Antonia Papandreou-Suppappola223429.88