Motion and gesture sensing with radar /
主要な著者: | , |
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フォーマット: | Licensed eBooks |
言語: | 英語 |
出版事項: |
Norwood, MA
Artech House
[2022]
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オンライン・アクセス: | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3854831 |
目次:
- Motion and Gesture Sensing with Radar
- Contents
- Preface
- 1 Introduction
- 1.1 Radar Basics and Types
- 1.2 Frequency Bands and Civil Applicatio
- 1.3 Radar Standardization
- 1.4 Book Outline
- References
- 2 Radar System Architecture and Range Equation
- 2.1 Basic Hardware Components of Radar
- 2.1.1 Transmitter/Receiver (Transceiver)
- 2.1.2 Waveform Generator
- 2.1.3 Antennas
- 2.2 LFM Radar Architecture
- 2.3 Receiver Noise
- 2.4 Dynamic Range
- 2.5 Radar Range Equation
- 2.6 Radar System Integration
- References
- 3 Radar Signal Model and Demodulation
- 3.1 Signal Modeling
- 3.1.1 Point Target
- 3.1.2 Distributed Target
- 3.2 Radar Waveforms and Demodulation
- 3.2.1 Matched Filter
- 3.2.2 Ambiguity Function
- 3.3 Frequency Modulated Waveforms
- 3.3.1 Conventional FMCW Waveforms
- 3.3.2 LFM Chirp Train (Fast Chirp)
- 3.3.3 Stretch Processing
- 3.4 Phase Coded Waveforms
- 3.4.1 Golay Codes
- 3.5 Summary
- References
- 4 Radar Signal Processing
- 4.1 Range Processing (Fast Time Processi
- 4.1.1 Minimum Range and Maximum Unambigu
- 4.1.2 Pulse Compression
- 4.1.3 Range Resolution
- 4.1.4 Range Accuracy
- 4.1.5 Time Sidelobes Control
- 4.2 Doppler Processing (Slow Time Proces
- 4.2.1 Sampling Frequency in Slow Time Do
- 4.2.2 CIT Window Size
- 4.2.3 MTI and Clutter Cancellation
- 4.2.4 Moving Target Detector (Filter Ban
- 4.2.5 Doppler (Radial Velocity) Resoluti
- 4.2.6 Doppler (Radial Velocity) Accuracy
- 4.2.7 Doppler Sidelobes Control
- 4.3 Summary
- References
- 5 Array Signal Processing
- 5.1 Array Manifold and Model
- 5.2 Conventional Beamforming
- 5.2.1 Uniform Array and FFT Based Beamfoming
- 5.2.2 Array Resolution, Accuracy, and Sidelobes Control
- 5.2.3 Digital Beamforming Versus Analog Beamforming
- 5.3 High-Resolution Methods
- 5.4 MIMO
- 5.4.1 Virtual Array
- 5.4.2 Basic MIMO Waveforms
- 5.4.3 Summary
- References
- 6 Motion and Presence Detection
- 6.1 Introduction
- 6.2 Detection Theory
- 6.2.1 Hypothesis Testing and Decision Rules
- 6.2.2 Neyman-Pearson Criterion and Likelihood Ratio Test
- 6.3 Signal and Noise Models
- 6.3.1 Target RCS Fluctuations
- 6.3.2 Noise
- 6.4 Threshold Detection
- 6.4.1 Optimal Detection of Nonfluctuating Target
- 6.4.2 Detection Performance
- 6.4.3 Impact of Target Fluctuation
- 6.5 Constant False Alarm Rate Detection
- 6.5.1 Cell-Averaging CFAR
- 6.5.2 Greatest-of and Least-of CFAR
- 6.5.3 Ordered Statistics CFAR
- 6.6 Clutter Rejection
- 6.6.1 Regions of Interest
- 6.6.2 Doppler Filtering
- 6.6.3 Spatial Filtering
- 6.6.4 Adaptive and Machine Learned Clutter Filters
- 6.7 Interference
- 6.8 Detection Pipeline Design
- References
- 7 Radar Machine Learning
- 7.1 Machine Learning Fundamentals
- 7.1.1 Supervised Learning
- 7.1.2 Linear Regression
- 7.1.3 Logistic Regression
- 7.1.4 Beyond Linear Models
- 7.1.5 Neural Networks