Time-frequency Transforms for Radar Imaging and Signal Analysis

Εξώφυλλο
Artech House, 2002 - 214 σελίδες
This text is a hands-on guide to time-frequency transforms for radar imaging and signal analysis. It 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; detect and track moving targets in the synthetic aperture radar; and analyze vibration and rotation induced micro-Doppler. This resource introduces an image formation algorithm based on time-frequency-transforms, showing its advantage over the more conventional Fourier-based image formation. Referenced with over 170 equations and 80 illustrations, the book presents algorithms that help improve the result of radar imaging and signal processing. Moreover, the authors discuss future trends in time-frequency to analyze micro-Doppler, and provide a newly developed time-frequency approach to radar signal and image processing to help solve problems associated with conventional approaches.
 

Περιεχόμενα

1 Introduction 1
1
2 TimeFrequency Transforms 25
25
3 Detection and Extraction of Signal in Noise 47
47
4 TimeFrequency Analysis of Radar Range Profiles 65
65
5 TimeFrequencyBased Radar Image Formation 93
93
6 Motion Compensation in ISAR Imaging Using TimeFrequency Techniques 123
123
7 SAR Imaging of Moving Targets 147
147
8 TimeFrequency Analysis of MicroDoppler Phenomenon 173
173
9 Trends in TimeFrequency Transforms for Radar Applications 193
193
List of Acronyms 203
203
About the Authors 205
205
Index 207
207
Πνευματικά δικαιώματα

Άλλες εκδόσεις - Προβολή όλων

Συχνά εμφανιζόμενοι όροι και φράσεις

Σχετικά με τον συγγραφέα (2002)

Victor C. Chen received his Ph.D. and, M.S. Degree in Electrical Engineering from the Case Western Reserve University, Cleveland, OH. Mr. Chen, an electronic engineer in the Radar Division of the Naval Research Laboratory in Washington, DC, is a senior member of the IEEE, and a member of the SPIE. Hao Ling earned his Ph.D. and M.S. in Electrical Engineering at the University of Illinois at Urbana-Champaign. Mr. Ling, professor in the department of electrical and computer engineering, University of Texas Austin, is an IEEE Fellow.

Πληροφορίες βιβλιογραφίας