Time-frequency Transforms for Radar Imaging and Signal Analysis.

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This text explores more efficient ways to: extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; and detect and track moving targets in the synthetic aperture radar.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chen, Victor C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood : Artech House, 2006.
Temas:
Imaging systems > Mathematics.
Radar > Mathematics.
Signal processing > Mathematics.
Time-domain analysis.
Imagerie (Technique) > Mathématiques.
Radar > Mathématiques.
Traitement du signal > Mathématiques.
Analyse temporelle.
Imaging systems > Mathematics
Signal processing > Mathematics
Time-domain analysis
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contents v; Foreword xi; Preface xiii; Acknowledgments xvii; 1 Introduction 1; 1.1 Electromagnetic Back-Scattering from Targets 6; 1.2 Radar Signal and Noise 9; 1.3 Radar Ambiguity Function and Matched Filter 13; 1.4 Synthetic Aperture Radar Imaging 20; References 22; 2 Time-Frequency Transforms 25; 2.1 Linear Time-Frequency Transforms 26; 2.2 Bilinear Time-Frequency Transforms 36; References 45; 3 Detection and Extraction of Signal in Noise 47; 3.1 Introduction 48; 3.2 Time-Varying Frequency Filtering 48; 3.3 SNR Improvement in the Time-Frequency Domain 51.
  • 3.4 CFAR Detection in the Joint Time-Frequency Domain 573.5 Signal Extraction in the Joint Time-Frequency Domain 61; References 63; 4 Time-Frequency Analysis of Radar Range Profiles 65; 4.1 Electromagnetic Phenomenology Embedded in Back-Scattered Data 66; 4.2 Time-Frequency Representation of Range Profiles 70; 4.3 Application of High-Resolution Time-Frequency Techniques to Scattering Data 77; 4.4 Extraction of.

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