Paper Info
Title
Blind identification of mixed-phase FIR systems with application to mobile communication channels.
Abstract
We investigate the applicability of two algorithms for theblind identification of mixed-phase linear time-invariant FIRsystems to the estimation of mobile radio channels on GSMconditions. One approach is based on Second Order CyclostationaryStatistics (SOCS), whereas the other exploitsHigher Order Stationary Statistics (HOSS) of the receivedsignal. While the former class of algorithms suffers from"singular" systems which can not be identified, the latterclass is said to require an...
Year
DOI
Venue
1997
10.1109/ICASSP.1997.604642
ICASSP
Keywords
Field
DocType
estimation theory,linear systems,fir filters,finite impulse response filter,digital radio,mobile communication,gsm,statistics,signal processing,signal to noise ratio,linear time invariant,identification,maximum likelihood estimation,higher order,second order,statistical distributions,order statistic,system identification
Digital radio,Signal processing,Linear system,Computer science,Artificial intelligence,Estimation theory,GSM,Pattern recognition,Higher-order statistics,Algorithm,Statistics,Mobile telephony,Cyclostationary process
Conference
Citations 
PageRank 
References 
11
1.27
5
Authors
2
Name
Order
Citations
PageRank
Dieter Boss1131.81
Karl-dirk Kammeyer220825.30