The Micro Doppler Effect in Radar With DVD Artech House Radar Library 1st Edition by Victor C Chen – Ebook PDF Instant Download/Delivery: 1608070573, 9781608070572
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Product details:
ISBN 10: 1608070573
ISBN 13: 9781608070572
Author: Victor C Chen
The Micro Doppler Effect in Radar With DVD Artech House Radar Library 1st Table of contents:
1. Introduction
1.1 Doppler Effect
1.2 Relativistic Doppler Effect and Time Dilation
1.3 Doppler Effect Observed in Radar
1.4 Estimation and Analysis of Doppler Frequency Shifts
1.5 Cramer-Rao Bound of the Doppler Frequency Estimation
1.6 The Micro-Doppler Effect
1.7 Micro-Doppler Effect Observed in Radar
1.8 Estimation and Analysis of Micro-Doppler Frequency Shifts
1.8.1 Instantaneous Frequency Analysis
1.8.2 Joint Time-Frequency Analysis
1.9 The Micro-Doppler Signature of Objects
References
Appendix 1A: MATLAB Source Codes
2. Basics of the Micro-Doppler Effect in Radar
2.1 Rigid Body Motion
2.1.1 Euler Angles
2.1.2 Quaternion
2.1.3 Equations of Motion
2.2 Nonrigid Body Motion
2.3 Electromagnetic Scattering from a Body with Motion
2.3.1 Radar Cross Section of a Target
2.3.2 RCS Prediction Methods
2.3.3 EM Scattering from a Body with Motion
2.4 Basic Mathematics for Calculating the Micro-Doppler Effect
2.4.1 Micro-Doppler Induced by a Target with Micro Motion
2.4.2 Vibration-Induced Micro-Doppler Shift
2.4.3 Rotation-Induced Micro-Doppler Shift
2.4.4 Coning Motion-Induced Micro-Doppler Shift
2.5 Bistatic Micro-Doppler Effect
2.6 Multistatic Micro-Doppler Effect
2.7 Cramer-Rao Bound of the Micro-Doppler Estimation
References
Appendix 2A
Appendix 2B: MATLAB Source Codes
3. The Micro-Doppler Effect of the Rigid Body Motion
3.1 Pendulum Oscillation
3.1.1 Modeling Nonlinear Motion Dynamic of a Pendulum
3.1.2 Modeling RCS of a Pendulum
3.1.3 Radar Backscattering from an Oscillating Pendulum
3.1.4 Micro-Doppler Signatures Generated by an Oscillating Pendulum
3.2 Helicopter Rotor Blades
3.2.1 Mathematic Model of Rotating Rotor Blades
3.2.2 RCS Model of Rotating Rotor Blades
3.2.3 PO Facet Prediction Model
3.2.4 Radar Backscattering from Rotor Blades
3.2.5 Micro-Doppler Signatures of Rotor Blades
3.2.6 Required Minimum PRF
3.2.7 Analysis and Interpretation of the Micro-Doppler Signature of Rotor Blades
3.3 Spinning Symmetric Top
3.3.1 Force-Free Rotation of a Symmetric Top
3.3.2 Torque-Induced Rotation of a Symmetric Top
3.3.3 RCS Model of a Symmetric Top
3.3.4 Radar Backscattering from a Symmetric Top
3.3.5 Micro-Doppler Signatures Generated by a Precession Top
3.3.6 Analysis and Interpretation of the Micro-Doppler Signature of a Precession Top
3.4 Wind Turbines
3.4.1 Micro-Doppler Signatures of Wind Turbines
3.4.2 Analysis and Interpretation of the Micro-Doppler Signature of Wind Turbines
References
Appendix 3A: MATLAB Source Codes
4. The Micro-Doppler Effect of the Nonrigid Body Motion
4.1 Human Body Articulated Motion
4.1.1 Human Walking
4.1.2 Description of the Periodic Motion of Human Walking
4.1.3 Simulation of Human Movements
4.1.4 Human Body Segment Parameters
4.1.5 Human Walking Model Derived from Empirical Mathematical Parameterizations
4.1.6 Capturing Human Motion Kinematic Parameters
4.1.7 Three-Dimensional Kinematic Data Collection
4.1.8 Characteristics of Angular Kinematics Using the Angle-Cyclogram Pattern
4.1.9 Radar Backscattering from a Walking Human
4.1.10 Human Movement Data Processing
4.1.11 Human Movement–Induced Radar Micro-Doppler Signatures
4.2 Bird Wing Flapping
4.2.1 Bird Wing Flapping Kinematics
4.2.2 Doppler Observations of the Bird Wing Flapping
4.2.3 Simulation of the Bird Wing Flapping
4.3 Quadrupedal Animal Motion
4.3.1 Modeling of Quadrupedal Locomotion
4.3.2 Micro-Doppler Signatures of Quadrupedal Locomotion
4.3.3 Summary
References
Appendix 4A: MATLAB Source Codes
Appendix 4B: MATLAB Source Codes
5. Analysis and Interpretation of Micro-Doppler Signatures
5.1 Biological Motion Perception
5.2 Decomposition of Biological Motion
5.2.1 Statistics-Based Decomposition
5.2.2 Decomposition of Micro-Doppler Signatures in the Joint Time-Frequency Domain
5.2.3 Physical Component–Based Decomposition
5.3 Extraction of Features from Micro-Doppler Signatures
5.4 Estimation of Kinematic Parameters from Micro-Doppler Signatures
5.5 Identifying Human Movements
5.5.1 Features Used for Identifying Human Movements
5.5.2 Anomalous Human Behavior
5.5.3 Summary
References
6. Summary, Challenges, and Perspectives
6.1 Summary
6.2 Challenges
6.2.1 Decomposing Micro-Doppler Signatures
6.2.2 Feature Extraction and Target Identification Based on Micro-Doppler Signatures
6.3 Perspectives
6.3.1 Multistatic Micro-Doppler Analysis
6.3.2 Micro-Doppler Signature-Based Classification
6.3.3 Aural Methods for Micro-Doppler–Based Discrimination
6.3.4 Through-the-Wall Micro-Doppler Signatures
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