TY - GEN
T1 - Channel estimation using time-frequency techniques
AU - Shen, Hao
AU - Papandreou-Suppappola, Antonia
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33646795694&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.2005.1416058
DO - 10.1109/ICASSP.2005.1416058
M3 - Conference contribution
AN - SCOPUS:33646795694
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 513
EP - 516
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -