LEADER 04623nam 2200601 450 001 9910815879803321 005 20230808205246.0 010 $a1-118-95689-3 010 $a1-5231-1046-5 010 $a1-118-95688-5 010 $a1-118-95687-7 035 $a(CKB)4330000000007684 035 $a(EBL)4622925 035 $a(Au-PeEL)EBL4622925 035 $a(CaPaEBR)ebr11244272 035 $a(CaONFJC)MIL945141 035 $a(MiAaPQ)EBC4622925 035 $a(OCoLC)954734853 035 $a(EXLCZ)994330000000007684 100 $a20160901h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aRadar data processing with applications /$fHe You, Xiu Jianjuan, Guan Xin 210 1$aSingapore :$cPublishing House of Electronics Industry :$cWiley,$d2016. 210 4$dİ2016 215 $a1 online resource (557 p.) 300 $aDescription based upon print version of record. 311 $a1-118-95686-9 320 $aIncludes bibliographical references and index. 327 $aTitle Page ; Copyright; Contents; About the Authors; Preface; Chapter 1 Introduction ; 1.1 Aim and Significance of Radar Data Processing; 1.2 Basic Concepts in Radar Data Processing; 1.2.1 Measurements; 1.2.2 Measurement Preprocessing; 1.2.3 Data Association; 1.2.4 Wave Gate; 1.2.5 Track Initiation and Termination; 1.2.6 Tracking; 1.2.7 Track; 1.3 Design Requirements and Main Technical Indexes of Radar Data Processors; 1.3.1 Basic Tasks of Data Processors; 1.3.2 The Engineering Design of Data Processors; 1.3.3 The Main Technical Indexes of Data Processors 327 $a1.3.4 The Evaluation of Data Processors1.4 History and Present Situation of Research in Radar Data Processing Technology; 1.5 Scope and Outline of the Book; Chapter 2 Parameter Estimation ; 2.1 Introduction; 2.2 The Concept of Parameter Estimation; 2.3 Four Basic Parameter Estimation Techniques; 2.3.1 Maximum A Posteriori Estimator; 2.3.2 Maximum Likelihood Estimator; 2.3.3 Minimum Mean Square Error Estimator; 2.3.4 Least Squares Estimator; 2.4 Properties of Estimators; 2.4.1 Unbiasedness; 2.4.2 The Variance of an Estimator; 2.4.3 Consistent Estimators; 2.4.4 Efficient Estimators 327 $a2.5 Parameter Estimation of Static Vectors2.5.1 Least Squares Estimator; 2.5.2 Minimum Mean Square Error Estimator; 2.5.3 Linear Minimum Mean Square Error Estimator; 2.6 Summary; Chapter 3 Linear Filtering Approaches ; 3.1 Introduction; 3.2 Kalman Filter; 3.2.1 System Model; 3.2.2 Filtering Model; 3.2.3 Initialization of Kalman Filters; 3.3 Steady-State Kalman Filter ; 3.3.1 Mathematical Definition and Judgment Methods for Filter Stability; 3.3.2 Controllability and Observability of Random Linear System; 3.3.3 Steady-State Kalman Filter; 3.4 Summary; Chapter 4 Nonlinear Filtering Approaches 327 $a4.1 Introduction4.2 Extended Kalman Filter; 4.2.1 Filter Model; 4.2.2 Some Problems in the Application of Extended Kalman Filters; 4.3 Unscented Kalman Filter; 4.3.1 Unscented Transformation; 4.3.2 Filtering Model; 4.3.3 Simulation Analysis; 4.4 Particle Filter; 4.4.1 Filtering Model; 4.4.2 Examples of the Application of EKF, UKF, and PF; 4.5 Summary; Chapter 5 Measurement Preprocessing Techniques ; 5.1 Introduction; 5.2 Time Registration; 5.2.1 Interpolation/Extrapolation Method Using Velocity; 5.2.2 The Lagrange Interpolation Algorithm; 5.2.3 Least-Squares Curve-Fitting Algorithm 327 $a5.3 Space Registration5.3.1 Coordinates; 5.3.2 Coordinate Transformation; 5.3.3 Transformation of Several Common Coordinate Systems; 5.3.4 Selection of Tracking Coordinate Systems and Filtering State Variables; 5.4 Radar Error Calibration Techniques; 5.5 Data Compression Techniques; 5.5.1 Data Compression in Monostatic Radar; 5.5.2 Data Compression in Multistatic Radar; 5.6 Summary; Chapter 6 Track Initiation in Multi-target Tracking ; 6.1 Introduction; 6.2 The Shape and Size of Track Initiation Gates; 6.2.1 The Annular Gate; 6.2.2 The Elliptic/Ellipsoidal Gate; 6.2.3 The Rectangular Gate 327 $a6.2.4 The Sector Gate 606 $aRadar$xMathematics 606 $aRadar$xData processing 615 0$aRadar$xMathematics. 615 0$aRadar$xData processing. 676 $a621.38480285 700 $aHe$b You$f1956-$01646424 702 $aXiu$b Jianjuan$f1971- 702 $aGuan$b Xin$f1978- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815879803321 996 $aRadar data processing with applications$93993425 997 $aUNINA