Motion and Gesture Sensing with Radar.

By: Wang, JianContributor(s): Lien, JaimeMaterial type: TextTextPublisher: Norwood : Artech House, 2022Copyright date: �2022Edition: 1st edDescription: 1 online resource (255 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781630818241Genre/Form: Electronic books.Additional physical formats: Print version:: Motion and Gesture Sensing with RadarOnline resources: Click to View
Contents:
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 -- 7.2 Radar Machine Learning -- 7.2.1 Machine Learning Considerations for Radar -- 7.2.2 Gesture Classification -- 7.3 Training, Development, and Testing Datasets -- 7.4 Evaluation Methodology -- 7.4.1 Machine Learning Classification Metrics -- 7.4.2 Classification Metrics for Time Series Data -- 7.5 The Future of Radar Machine Learning -- 7.5.1 What's Next? -- 7.5.2 Self Supervised Learning -- 7.5.3 Meta Learning -- 7.5.4 Sensor Fusion -- 7.5.5 Radar Standards, Libraries, and Datasets -- 7.6 Conclusion -- References -- 8 UX Design and Applications -- 8.1 Overview -- 8.2 Understanding Radar for Human-Computer Interaction -- 8.3 A New Interaction Language for Radar Technology -- 8.3.1 Explicit Interactions: Gestures -- 8.3.2 Implicit Interactions: Anticipating Users' Behaviors -- 8.3.3 Movement Primitives -- 8.4 Use Cases.
References -- 9 Research and Applications -- 9.1 Technological Trends -- 9.2 Radar Standardization -- 9.3 Emerging Applications -- References -- About the Authors -- Index.
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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 -- 7.2 Radar Machine Learning -- 7.2.1 Machine Learning Considerations for Radar -- 7.2.2 Gesture Classification -- 7.3 Training, Development, and Testing Datasets -- 7.4 Evaluation Methodology -- 7.4.1 Machine Learning Classification Metrics -- 7.4.2 Classification Metrics for Time Series Data -- 7.5 The Future of Radar Machine Learning -- 7.5.1 What's Next? -- 7.5.2 Self Supervised Learning -- 7.5.3 Meta Learning -- 7.5.4 Sensor Fusion -- 7.5.5 Radar Standards, Libraries, and Datasets -- 7.6 Conclusion -- References -- 8 UX Design and Applications -- 8.1 Overview -- 8.2 Understanding Radar for Human-Computer Interaction -- 8.3 A New Interaction Language for Radar Technology -- 8.3.1 Explicit Interactions: Gestures -- 8.3.2 Implicit Interactions: Anticipating Users' Behaviors -- 8.3.3 Movement Primitives -- 8.4 Use Cases.

References -- 9 Research and Applications -- 9.1 Technological Trends -- 9.2 Radar Standardization -- 9.3 Emerging Applications -- References -- About the Authors -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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