Title :
Blind SIMO channel estimation for CPM signals
Author :
Neugebauer, Shawn P.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Abstract :
We present a technique for blind channel estimation for continuous-phase modulated (CPM) signals received using multiple sensors. By modeling an appropriately-sampled CPM signal as a sequence of temporally-correlated symbols having known statistics, we use the method of Lopez-Valcarce and Dasgupta to blindly estimate the resulting single-user multi-channel model. We discuss Cramer-Rao bounds on the variance of such estimates, including a bound developed by Cirpan et al., and we show the bounds can be tightened by incorporating the source statistics. Simulation results demonstrate the good performance of the technique for several CPM signals and for several multipath channels.
Keywords :
channel estimation; continuous phase modulation; multipath channels; signal sampling; CPM signals; Cramer-Rao bounds; Lopez-Valcarce and Dasgupta method; blind SIMO channel estimation; bound tightening; continuous-phase modulated signals; multipath-distorted CPM signals; multiple sensors; single-input multiple-output; single-user multi-channel model; temporally-correlated symbols; Ambient intelligence; Bandwidth; Blind equalizers; Channel estimation; Frequency modulation; Intersymbol interference; Multipath channels; Pulse modulation; Shape control; Statistics;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197262
