Tài liệu Digital Signal Processing Laboratory - Using Matlab doc

... 8.1.[5] R. Kuc. Introduction to Digital Signal Processing. McGraw-Hill, New York NY,1988, Secs. 3.10, 3.11.[6] L.C. Ludeman. Fundamentals of Digital Signal Processing. Harper & Row, NewYork ... Mitra. Digital Signal Processing: A Computer-Based Approach. McGraw-Hill,New York NY, third edition, 2005. Ch. 4 and Sec. 11.8.[8] A.V. Oppenheim, R.W. Schafer, and J. R. Buck. Discrete-Time Signal ... ’);N = length(den )-1 ; % Order of denominator polynomialk = ones(1,N);a1 = den/den(1);alpha = num(N+1 :-1 :1)/den(1);for ii = N :-1 :1,alpha(N+2-ii:N+1) = alpha(N+2-ii:N+1)-alpha(N-ii+1)*a1(2:ii+1);k(ii)...

... classical signal processing a rich set of tools has evolved for processing signals that are deter-ministic and predictable such as transient and periodic signals, and for processing signals that ... Oppenheim, A.V. & Cuomo, K.M. “Chaotic Signals and Signal Processing Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: ... Chaotic Signals in CommunicationsChaotic systems provide a rich mechanism for signal design and generation, with potential appli-cations to communications and signal processing. Because chaotic signals...

... error-free).For a conventional ground-based radar, scan-to-scan track-before-detect processing (SSTBD) hasbeen well studied and a performance demonstration can be found in [26]. With a STAP-basedairborne ... LLCSpace-TimeAdaptiveProcessingforAirborneSurveillanceRadarHongWangSyracuseUniversity70.1MainReceiveApertureandAnalogBeamforming70.2DatatobeProcessed70.3TheProcessingNeedsandMajorIssues70.4TemporalDOFReduction70.5AdaptiveFilteringwithNeededandSample-SupportableDOFandEmbeddedCFARProcessing70.6Scan-To-ScanTrack-Before-DetectProcessing70.7Real-TimeNonhomogeneityDetectionandSampleConditioningandSelection70.8SpaceorSpace-RangeAdaptivePre-SuppressionofJammers70.9ASTAPExamplewithaRevisittoAnalogBeamforming70.10SummaryReferencesSpace-TimeAdaptiveProcessing(STAP)isamulti-dimensionalfilteringtechniquedevelopedforminimizingtheeffectsofvariouskindsofinterferenceontargetdetectionwithapulsedairbornesurveillanceradar.Themostcommondimensions,orfilteringdomains,generallyincludetheaz-imuthangle,elevationangle,polarizationangle,dopplerfrequency,etc.inwhichtherelativelyweaktargetsignaltobedetectedandtheinterferencehavecertaindifferences.Inthefollowing,theSTAPprinciplewillbeillustratedforfilteringinthejointazimuthangle(space)anddopplerfrequency(time)domainonly.STAPhasbeenaveryactiveresearchanddevelopmentareasincethepublicationofReedetal.’sseminalpaper[1].WiththerecentlycompletedMultichannelAirborneRadarMeasurementproject(MCARM)[2]–[5],STAPhasbeenestablishedasavaluablealternativetothetraditionalapproaches,suchasultra-lowsidelobebeamformingandDisplacedPhaseCenterAntenna(DPCA)[6].MuchofSTAPresearchanddevelopmenteffortshavebeendrivenbytheneedstomakethesystemaffordable,tosimplifyitsfront-hardwarecalibration,andtominimizethesystem’sperformancelossinseverelynonhomogeneousenvironments.Figure70.1isageneralconfigurationofSTAPfunctionalblocks[5,7]whoseprincipleswillbediscussedinthefollowingsections.c1999byCRCPressLLCFIGURE ... the-STAP is both channel calibration-free and steering-vector calibration-free. On the other hand,keeping the 16 channels of FA-STAP calibrated and updating its steering vector look-up table...

... the signal- to-noiseratioisSNRo= N SNRi.We conclude, for the case of a single source in white noise, that the DS beamformer is optimumin the sense of maximizing the output signal- to-noise ... estimation of coherent signals,IEEE Trans. on Acoust., Speech, and Signal Processing, ASSP-33, 806–811, Aug. 1985.[15] Steele, R.,Mobile Radio Communications,IEEE Press-Pentech Press, 1992.[16] ... communications, Chapter 68 inthis book.[12] Pillai, S.U.,Array Signal Processing, Springer-Verlag, 1989.[13] Schmidt,R.O., Multipleemitter location andsignal parameterestimation,Proc.RADC SpectralEstimation...

... LLCArrayProcessingforMobileCommunicationsA.PaulrajStanfordUniversityC.B.PapadiasStanfordUniversity68.1IntroductionandMotivation68.2VectorChannelModelPropagationLossandFading•MultipathEffects•TypicalChannels•SignalModel•Co-ChannelInterference• Signal- Plus-InterferenceModel•BlockSignalModel•SpatialandTemporalStructure68.3AlgorithmsforSTPSingle-UserST-MLandST-MMSE•Multi-UserAlgorithms•SimulationExample68.4ApplicationsofSpatialProcessingSwitchedBeamSystems•Space-TimeFiltering•ChannelReuseWithinCell68.5Summary68.6References68.1 ... will thereforebe a sum of the desired signal and co-channel interference.68.2.6 Signal- Plus-Interference ModelThe overall signal- plus-interference-and-noise model at the base station antenna ... section, we will discuss multi-user detectionwhich jointly detects all impinging signals.68.3.1 Single-User ST-ML and ST-MMSEThe first criterion for optimality in space-time processing is Maximum Likelihood...

... in signal processing journals such as the IEEE Transactions on Signal Processing. Moreadvanced topicsthat have been addressed in the signal processing literature but not discussed here in-clude: ... Detection of signals by information theoretic criteria,IEEE Trans.Acoustics, Speech, and Signal Processing, ASSP-33, 387–392, Apr. 1985.[9] Williams, D.B., Counting the degrees of freedom when using ... MDL to detect signals,IEEE Trans. Signal Processing, 42, 3282–3284, Nov. 1994.[10] Williams, D.B. and Johnson, D.H., Using the sphericity test for source detection with narrow-band passivearrays,IEEE...

... Subspace Updating).66.4.2 Gradient-Based Eigen TrackingJar-Ferr Yang and Hui-Ju Lin [45] proposed a generalized inflation method which extends thegradient-based work of Yang and Kaveh [44]. ... [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 ... singular values and vectors in signal processing, Proc. IEEE,78(8), 1327–1343, Aug. 1990.[8] DeGroat, R.D., Non-iterative subspace tracking,IEEE Trans. Sig. Proc.,SP-40(3), 571–577,Mar. 1992.[9]...

... Scientific Research under Grant no. F4962 0-9 7-1 -0 481, the Officeof Naval Research under Grant no. N0001 4-9 6-1 -1 078, the National Science Foundation under Grant no. MIP-9615590,and the HTI Fellowship.c1999 ... sensors,IEEE Trans. Signal Process.,SP-44, 1036–1039, Apr.1996.[32] Nehorai, A. and Paldi, E., Acoustic vector-sensor array processing, IEEE Trans. on Signal Processing, SP-42, 2481–2491, Sept. ... Model•Multi-SourceMulti-Vector Sensor Model65.3 Cramer-Rao Bound for a Vector Sensor ArrayStatistical Model•The Cramer-Rao Bound65.4 MSAE, CVAE, and Single-Source Single-Vector SensorAnalysisThe...

... decomposition of R real-valued,non-symmetric matrices that reveals their “average eigenstructure”. Like its 1-D and 2-D coun-terparts, R-D Unitary ESPRIT inherently includes forward-backward averaging ... section, we develop 2-D Unitary ESPRIT, a closed-form 2-D angle estimation algo-rithm that achieves automatic pairing in a similar fashion. It is applicable to 2-D centro-symmetricarray configurations ... M.D.,Kautz,G.M.andSilverstein,S.D.,Beamspaceroot-MUSIC,IEEETrans .Signal Processing, 41, 344–364, Jan. 1993.[26] Zoltowski, M.D. and Lee, T., Maximum likelihood based sensor array signal processing in thebeamspace domain for low-angle...