Handbook of computer simulation in radio engineering communications and radar
Sergey A. Leonov, Alexander I Leonov
Résumé
Mathcad routines, cited in the handbook, help you optimize radar system performance analysis, and can be used to create custom-made software that better answers your specific needs. From discussions on the mathematical modeling in radio engineering... to coverage of radar system models, this unique guide saves you time by gathering the critical information you need in one handy volume. Plus, it offers many methods and algorithms that have been previously available in Russian-language resources only. Extensively supported with over 2,290 equations and 270 illustrations.
Contents
| Preface | ||
| Acknowledgments | ||
| Pt. 1 | Mathematical Modeling in Radio Engineering | |
| Ch. 1 | Deterministic Modeling | 3 |
| Ch. 2 | Stochastic Modeling | 35 |
| Ch. 3 | Methods of Modeling | 115 |
| Pt. 2 | Radar System Simulation | |
| Ch. 4 | Radar Cross Section | 153 |
| Ch. 5 | Antennas and Propagation | 171 |
| Ch. 6 | Waveforms and Signal Processing | 191 |
| Ch. 7 | Detection and Integration | 231 |
| Ch. 8 | Losses | 241 |
| Ch. 9 | Maximum Detection Range | 271 |
| Ch. 10 | Measurement Errors | 313 |
| Ch. 11 | Noise and Interference Immunity | 339 |
| App. 1 | Notations and Special Functions Used in the Handbook | 383 |
| App. 2 | The Major Features of Delta Function | 386 |
| App. 3 | Signal Models Based on Elementary Time-Domain Functions | 387 |
| App. 4 | The Decomposition Models of the Signals | 389 |
| App. 5 | Basic Features of the Discrete Fourier Transform | 391 |
| App. 6 | The Fast Fourier Transform Models | 392 |
| App. 7 | Z-Transform of Some Common Functions | 394 |
| App. 8 | Active Device Noise | 395 |
| App. 9 | Recursive and Nonrecursive Filter Frequency Responses | 397 |
| App. 10 | The Transfer Functions of a Pair of Cascaded Filters | 398 |
| App. 11 | The Distribution Laws for the Discrete Random Variables | 399 |
| App. 12 | The Distribution Laws for the Continuous Random Variables | 402 |
| App. 13 | Integral Forms for Gaussian Distribution | 414 |
| App. 14 | The Moments of Random Variables | 416 |
| App. 15 | Moments of Discrete Random Variables | 418 |
| App. 16 | Moments of Continuous Random Variables | 419 |
| App. 17 | The Functional Transform of Random Variables | 422 |
| App. 18 | Probability Density Function of Sum, Difference, Product, and Quotient of Two Random Variables | 425 |
| App. 19 | Simulation Algorithms for Common Distributions | 427 |
| App. 20 | Basic Simulation Algorithms to Generate Random Variables with Gaussian Distribution | 429 |
| App. 21 | Simulation Algorithms Based on a Rigorous Solution for the Reciprocal Functions | 430 |
| App. 22 | Simulation Algorithms Derived by Means of Gamma Distribution | 432 |
| App. 23 | Common Correlation Functions and Spectra of the Stationary Random Processes | 434 |
| App. 24 | The Derivatives of the Random Process | 435 |
| App. 25 | A Gaussian Random Process | 436 |
| App. 26 | The Models of Common Pulses in Time and Frequency Domains | 438 |
| App. 27 | The Spectral Densities for Common Pulsed Random Processes | 440 |
| App. 28 | Probability Density Functions and Spectral Densities for Common Pulse Amplitude Distributions | 442 |
| App. 29 | Spectral Densities for the Stationary Pulse Trains | 444 |
| App. 30 | Spectral Densities of the Stationary Pulse Trains for Various Types of Modulation and Distribution of Pulse Parameters | 446 |
| App. 31 | Simulation Algorithms Based on Recurrent Methods for the Stationary Processes with Common Correlation Functions | 451 |
| App. 32 | Equations and Frequency Responses of the Formation Filter for the Stationary Processes with Common Correlation Functions | 453 |
| App. 33 | Simulation Algorithm for a Three-Dimensional Gaussian Markovian Random Process | 456 |
| App. 34 | Simulation Algorithms Based on the Discrete Models of Linear Systems (Formation Filters) | 457 |
| App. 35 | Simulation Algorithms for the Vector Modulus and the Unit Vector | 458 |
| App. 36 | Algorithms to Estimate Basic Parameters of a Stationary Ergodic Random Process | 460 |
| App. 37 | Algorithms to Estimate the First Four Moments of a Nonstationary Random Process | 461 |
| App. 38 | The Mathematical Expectations and Correlation Functions Based on Impulse Response Representation | 462 |
| App. 39 | The Impulse and Frequency Responses for Common Linear Circuits | 463 |
| App. 40 | The Normalized Correlation Functions and Spectral Densities at the Output of Common Linear Circuits | 468 |
| App. 41 | The Characteristics of Nonlinear Circuits | 470 |
| App. 42 | Stochastic Parameters of the Sum of Random Noise and Deterministic Signal | 472 |
| App. 43 | The Coefficients for Different Types of Modulation | 474 |
| App. 44 | Mathematical Models of Radio Devices at the Block Diagram Level | 476 |
| App. 45 | Simplification of the Transfer Function Model | 480 |
| App. 46 | The Coefficients for Nonlinear Circuits | 482 |
| App. 47 | Mathematical Models for Common Devices and Circuits | 483 |
| App. 48 | Statistical Linearization Coefficients | 488 |
| App. 49 | Mathematical Models of RCL | 490 |
| About the Authors | 491 | |
| Index | 493 |
L'auteur - Sergey A. Leonov
Sergey A, Leonov is a principal scientist at Raytheon Canada. He is the coauthor of Handbook of Computer Simulation in Radio Engineering, Communications, and Radar, Radar Technology Encyclopedia; and Russian-English and English-Russian Dictionary of Radar and Electronics (Artech House, 2001,1997, and 1993), among other books. He holds an M.Sc. from Kharkov University and a Ph.D. and D.Sc. from the Moscow Aerospace Institute.
Alexander I. Leonov is a professor at the Moscow Institute of Technology. For 25 years he was a senior member of teams that designed and tested state-of-the-art radars for Soviet ABM programs. He is also the coauthor of Handbook of Computer Simulation in Radio Engineering, Communications, and Radar and Radar Technology Encyclopedia (Artech House, 2001 and 1997). Professor Leonov holds an M.Sc. from the Leningrad Military University of Communications and a Ph.D. and D.Sc. from the Moscow Aerospace Institute.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Artech House |
| Auteur(s) | Sergey A. Leonov, Alexander I Leonov |
| Parution | 15/05/2001 |
| Nb. de pages | 500 |
| Format | 15,5 x 23,5 |
| Couverture | Relié |
| Poids | 972g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781580532808 |
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