Digital Signal Processing Handbook P6

... Ramachandran, R.P. “Quantization of Discrete Time Signals” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press ... design,IEEE Trans.Comm.,COM-28, 84–95, Jan. 1980.[8] Rabiner, L.R. and Schafer, R.W., Digital Processingof Speech Signals,Prentice-Hall, EnglewoodCliffs, NJ, 1978.[9] Atal, B.S., Predictive coding ... Signal Processing, San Diego, CA, pp. 1.10.1–1.10.4, March 1984.[13] Paliwal, K.K. and Atal, B.S., Efficient vector quantization of LPC parameters at 24 bits/frame,IEEE Trans. Speech Audio Processing, 1,...

... Reference Signal If the desired signal were known, then the weights could be chosen to minimize the error between thebeamformer output and the desired signal. Of course, knowledge of the desired signal ... some applications, enough may be known about the desired signal to generatea signal that closely representsit. Thissignal iscalled areference signal. Asindicatedin Table 61.1, the weights are chosen ... reference signal is uncorrelated with interfering signals in x.Thefact that the direction of the desired signal does not need to be known is a distinguishing feature ofthe reference signal approach....

... a pair of signals interpreted directly as a complex representationof a bandpass signal. Often these signals are sampled, providing complex digital data for further digital signal processing. ... now for this kind of computation isstatistical signal processing, and much of this Handbook is devoted to this very subject. Statistical signal processing is classical statistical inference applied ... in the statistical signal processing literature. Complex representations for signals and the assumption of circularity areparticularly useful in the processingof data or signals froman array...

... & Moura, J.M.F. “Beamforming with Correlated Arrivals in Mobile Communications” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... Trans. on Signal Processing, submitted Nov. 1995.[2] Barroso, V.A.N. and Moura, J.M.F.,l2andl1Beamformers: recursive implementation andperformance analysis,IEEE Trans. on Signal Processing, SP-42(6), ... C.B., Array processing for mobile communications, Chapter 68 inthis book.[12] Pillai, S.U.,Array Signal Processing, Springer-Verlag, 1989.[13] Schmidt,R.O., Multipleemitter location andsignal...

... 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, ...

... detection problemhave appeared in signal processing journals such as the IEEE Transactions on Signal Processing. Moreadvanced topicsthat have been addressed in the signal processing literature but not ... Williams, D.B. “Detection: Determining the Number of Sources” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, ... Trans. Signal Processing, 43, 1413–1426, June 1995.[13] Yin, Y.Q. and Krishnaiah, P.R., On some nonparametric methods for detection of the numberof signals,IEEE Trans. Acoustics, Speech, and Signal...

... 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...

... Nehorai, A. & Paldi, E. “Electromagnetic Vector-Sensor Array Processing Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press ... SSTSource(DSTModel)AnalysisConsidertheMSAEforasinglesignaltransmissionsourcewhentheestimationisdoneundertheassumptionthatthesourceisofadualsignaltransmissiontype.Inthiscase,themodel(65.10)hastobeusedbutwithasignalintheformof(65.13).ThesignalcovarianceisthenP=σ2sQw(Qw)∗(65.32)whereσ2s=Es2(t)andQandwaredefinedinEq.(65.12).Thus,rankP=1andPhasaunitnormeigenvectorQwwithaneigenvalueσ2s.Letσ2=σ2E·σ2Hσ2E+σ2H(65.33)Thevarianceσ2canbeviewedasanequivalentnoisevarianceoftwomeasurementswithindependentnoisevariancesσ2Eandσ2H.Define,σ2s/σ2,whichisaneffectiveSNR.UsingtheanalysisofUin[1]andexpression(65.31)wefindthatMSAESCR=(1+)(σ2E+σ2H)222σ2Eσ2H+(σ2E−σ2H)2sin2θ4cos2θ4=(1+)(1+r2)222r2+(1−r2)2sin2θ4cos2θ4 ... Vector-sensor array processing for electromagnetic source localiza-tion,IEEE Trans. on Signal Processing, SP-42, 376–398, Feb. 1994.[2] Nehorai, A. and Paldi, E., Vector sensor processing for electromagnetic...

... array signal processing in thebeamspace domain for low-angle radar tracking,IEEE Trans. Signal Processing, 39, 656–671,Mar. 1991.[27] Zoltowski, M.D. and Stavrinides, D., Sensor array signal processing ... Signal Processing Letters,3, 124–126,Apr. 1996.[15] Mathews, C.P. and Zoltowski, M.D., Eigenstructure techniques for 2-D angle estimation withuniform circular arrays,IEEE Trans. Signal Processing, 42, ... ESPRIT,IEEETrans. Signal Processing, 40, 867–881, Apr. 1992.[23] Xu, G., Roy, R.H. and Kailath, T., Detection of number of sources via exploitation of centro-symmetry property,IEEE Trans. Signal Processing, 42,...