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Sea clutter : scattering, the K distribution and radar performance /
The book covers five parts. Part one belongs to sea clutter properties. Part two discusses the mathematics of the K-distribution. Part three covers the radar detection and Part four deals with physical modelling of radar.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Stevenage, U.K. :
Institution of Engineering and Technology,
2013.
|
| Edición: | 2nd ed. |
| Colección: | IET radar, sonar, navigation and avionics series ;
25. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- List of symbols; Chapter 1. Introduction; 1.1 Prologue; 1.2 Maritime radar; 1.3 The modelling of radar returns from the sea; 1.4 The use of clutter models in radar development; 1.4.1 Requirement definition; 1.4.2 Modelling of potential performance; 1.4.3 System and algorithm development; 1.4.4 Performance assessment and acceptance trials; 1.4.5 In-service tactics and training; 1.4.6 In-service upgrades; 1.5 Outline of the book; References; Part I: Sea clutter properties; Chapter 2. The characteristics of radar sea clutter; 2.1 Overview; 2.2 The sea surface.
- 2.3 Sea clutter reflectivity2.4 Amplitude statistics; 2.4.1 The compound nature of sea clutter amplitude statistics; 2.5 Frequency agility and sea clutter; 2.6 Observations of amplitude distributions; 2.7 Polarisation characteristics; 2.8 Clutter spikes and modulations; 2.9 Coherent properties of radar sea clutter; 2.10 Spatial characteristics; 2.10.1 Range Autocorrelation Function (ACF); 2.10.2 Power spectrum analysis of range-time intensity plots; 2.11 Bistatic clutter; 2.11.1 Bistatic scattering geometry; 2.11.2 Bistatic reflectivity NBRCS; 2.11.3 Bistatic amplitude statistics.
- 2.11.4 Bistatic Doppler spectraReferences; Chapter 3. Empirical models for sea clutter; 3.1 Overview; 3.2 Low grazing angle normalised sea clutter RCS models; 3.2.1 RRE model; 3.2.2 GIT model; 3.2.3 Sittrop's model; 3.2.4 The TSC model; 3.2.5 The hybrid model; 3.2.6 Other results; 3.3 Medium and high grazing angle normalised RCS models; 3.4 Bistatic normalised RCS models; 3.4.1 In-plane NBRCS models; 3.4.2 Out-of-plane NBRCS; 3.5 Low grazing angle statistics; 3.5.1 Lognormal distribution; 3.5.2 Weibull distribution; 3.5.3 Compound K distribution; 3.5.4 Compound K distribution plus noise.
- 3.5.5 Shape parameter at low grazing angle3.5.6 Discrete spike modelling; 3.6 Medium grazing angle statistics; 3.7 Bistatic amplitude statistics; 3.8 Doppler spectra; 3.8.1 Average Doppler spectra; 3.8.2 Evolution of Doppler spectra with time; 3.8.3 Bistatic Doppler spectra; References; Chapter 4. The simulation of clutter and other random processes; 4.1 Introduction; 4.2 Generating uncorrelated random numbers with a prescribed PDF; 4.3 Generating correlated Gaussian random processes; 4.4 Fourier synthesis of random processes.
- 4.5 Approximate methods for the generation of correlated gamma distributed random numbers4.6 The correlation properties of non-Gaussian processes generated by MNLT; 4.7 Correlated exponential and Weibull processes; 4.8 The generation of correlated gamma processes by MNLT; 4.9 Simulating coherent clutter; 4.9.1 Simulation of clutter spectra; 4.9.2 Simulation of time series data; 4.9.3 Discussion; References; Part II: Mathematics of the K distribution; Chapter 5. Elements of probability theory; 5.1 Introduction; 5.2 Finite numbers of discrete events; 5.3 An infinite number of discrete events; 5.4 Continuous random variables.