Tài liệu Digital Signal Processing Handbook P70 pdf

... Rao, C.R., Effects of estimated noise covariance matrix in optimal signal detection,IEEE Trans. on Acoustics, Speech, and Signal Processing, ASSP-35(5), 671–679,May 1987.[21] Cai, L.andWang, ... algorithm, Proc. Signal and Data Processing of Small Targets, SPIE Proc. Series, Vol. 1305, Paper 16, 180–192, Orlando,FL, April 16-18, 1990.[27] Wang, H. and Cai, L., On adaptive multiband signal detection ... May 1991.[16] DiPietro, R.C., Extended factored space-time processing for airborne radar systems,Proc. 26thAsilomar Conference on Signals, Systems, and Computers,425–430, Pacific Grove, CA,...

... IntroductionandMotivationThischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellularnetworksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobecriticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennasandspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor,moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsinbothspaceandtimetomaximizesignalquality.Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cellsizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorverysmallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferentchannelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservicedeliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecificSTPsolutions.STPprovidesthreeprocessingleverages.Thefirstisarraygain.Multipleantennascapturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Nextisspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacentchannel,andinter-symbolinterference.Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodelforabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlinestheapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5.c1999byCRCPressLLC[16] ... blind signal separation method for multiusercommunications,IEEE Trans. on Signal Processing, Special Issue on Signal Processing forAdvanced Communications,45(1), Jan. 1997.[10] Ding, Z., Blind ... and Signal Processing, Gardner, W.A., Ed., New Jersey, 1994, 417–436.[11] Duhamel, P., Blind equalization, Tutorial presentation, International Conference on Acoustics,Speech, and Signal Processing, ...

... 1995.[35] Reddy, V.U., Mathew, G. and Paulraj, A., Some algorithms for eigensubspaceestimation, Digital Signal Processing, 5, 97–115, 1995.[36] Regalia, P.A. and Loubaton, P., Rational subspaceestimation ... extending this concept to the signal subspace [8]. By sphericalizing and deflating both the signal and the noise subspaces, the cost of tracking the r dimensional signal (or noise) subspace is ... [16]NoGradient-based EVD updates with gram schmidt orthog. [44, 45]Yesa Signal averaged 2-level (SA2 ) updateb[8]Yes Signal averaged 4-level (SA4) updateb[9, 11]YesaO(nr)Projection approximation...

... Williamson, G.A. “Adaptive IIR Filters” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... systems,IEEETrans. Signal Processing, 41(2), 617–628, 1993.[14] Lin, J N. and Unbehauen, R., Bias-remedy least mean square equation error algorithm for IIRparameter recursive estimation,IEEE Trans. Signal Processing, 40(1), ... Trans. Acoustics, Speech, Signal Processing, 38(7), 1222–1227,1990.[17] Regalia, P.A., Stable and efficient latticealgorithms for adaptive IIR filtering,IEEE Trans .Signal Processing, 40(2), 375–388,...

... Ling, F., and Nikias, C.L.,Advanced Digital Signal Processing ,Macmillan Publishing, New York, 1992.[3] Widrow, B. and Stearns, S.D.,Adaptive Signal Processing , Prentice-Hall, Englewood ... Sayed, A.H. & Rupp, M. “Robustness Issues in Adaptive Filtering” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... algorithms,IEEE Trans. Signal Processing , 44(8), 1982–1989, Aug. 1996.[19] Sayed, A.H. and Kailath, T., A state-space approach to adaptive RLS filtering,IEEE Signal Processing Magazine, 11(3),...

... critique, Signal Processing, 6(2), 113–133, April 1984.[6] Feuer, A. and Weinstein, E., Convergence analysis of LMS filters with uncorrelated data,IEEETrans. Acoust., Speech, Signal Processing, ASSP-331, ... filter,IEEE Trans. Signal Processing, 43(12), 2863–2871, Dec. 1995.[15] Rupp, M., The behavior of LMS and NLMS algorithms in the presence of spherically invariantprocesses,IEEE Trans. Signal Processing, 41(3), ... by CRC Press LLC[22] Farden,D.C., Tracking properties of adaptivesignal processingalgorithms,IEEETrans.Acoust.,Speech, Signal Processing, ASSP-29(3), 439–446, June 1981.[23] Bitmead, R.R. and...

... T., Bayesian spectrum estimation of harmonic signals, Signal Process.Lett.,Vol. 2, pp. 213–215, 1995.[8] Hayes, M.S.,Statistical Digital Signal Processing and Modeling,John Wiley & Sons, ... Djuric, P.M. & Kay S.M. “Spectrum Estimation and Modeling” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... performance of some other signal and noise subspace based methods developed later.14.5.5 Multiple Signal Classification (MUSIC)A procedure very similar to Pisarenko’s is the MUltiple SIgnal Classification...

... Temporal Signals in Gaussian Noise Signal Detection: Known Gains• Signal Detection: UnknownGains• Signal Detection: Random Gains• Signal Detection:Single Signal 13.6 Spatio-Temporal SignalsDetection: ... Hero, A. Signal Detection and Classification” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: ... SpatialCovariance13.7 Signal ClassificationClassifying Individual Signals•Classifying Presence of Multi-ple SignalsReferences13.1 IntroductionDetection and classification arise in signal processing...

... Singer, A.C. Signal Processing and Communication with Solitons” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca ... as signals and consider exploiting some of theirrich signal properties in a signal processing or communication context. This perspective is illustratedgraphically in Fig. 75.3, where a signal ... detection of a known or multiple known signalsin AWGN can be accomplished with matched filter processing. When the signal r(t)contains a multi-soliton signal where the component solitons are...