Highly Integrated Low-Power Radars -- Contents -- Preface -- Acknowledgments -- 1 Scenarios, Applications, and Requirement -- References -- 2 Radar Integration Levels, Technology Trends, and Transceivers -- 2.1 Radar Integration Levels -- 2.1.1 System-on-a-Single-Chip -- 2.1.2 System-in-a-Package -- 2.1.3 Single-Board Radar -- 2.2 Next Steps in Radar Miniaturization -- 2.3 Integrated Antennas -- 2.4 Semiconductor Technology and Devices for Integrated Radar -- 2.5 Trends in IC Radar Design -- 2.5.1 MIC and MMIC Technology -- 2.5.2 Si-Based Technology -- 2.6 Radar Transceivers -- References -- 3 Hardware-Software Implementing Platforms for Radar Digital Signal Processing -- 3.1 IImplementing Platforms and Performance Metrics for Radar -- 3.1.1 Implementing Platforms for Radar Digital Signal Processing -- 3.1.2 Main Performance Metrics for Radar Implementing Platforms -- 3.2 Hardware-Software Architecture for a Cost-Effective Radar -- 3.3 DSP and GPU for Radar Signal Process -- 3.3.1 Vector DSP and the CELL Many-Core Computing Engine -- 3.3.2 GPU -- 3.3.3 VLIW DSP for Space Applications (DSPace) Processor -- 3.4 FPGA for Radar Signal Processing -- 3.4.1 Overview of FPGAs -- 3.4.2 High-End FPGA for Radar Signal Processing -- 3.4.3 Cost-Effective FPGA for Radar Signal Processing -- 3.5 Conclusions -- References -- 4 Radar for E-Health Applications: Signal Processing Perspective -- 4.1 General Characteristic of the Sensor and Its Functions -- 4.2 CW Doppler Radar for Health Care Monitoring -- 4.3 Choice of Carrier Frequency -- 4.4 Phase Noise and Range-Correlation -- 4.5 Front-End Architectures -- 4.5.1 Homodyne -- 4.5.2 Double-Sideband Heterodyne -- 4.6 UWB Radar for Health Care Monitoring -- 4.7 UWB Radar with Correlator -- 4.8 Conclusions -- References -- 5 Radar for Automotive Applications: Signal Processing Perspective. 5.1 General Characteristic of the Sensor and Its Functions -- 5.2 Signal Processing for the Single Sennsor -- 5.2.1 Range and Frequency Estimation -- 5.2.2 CFAR Processing -- 5.2.3 Azimuth Direction of Arrival Estimation -- 5.2.4 Target Tracking -- 5.3 SRR Radar -- 5.4 Conclusions -- References -- 6 Low-Power Radar Front-End for E-Health and Harbor Surveillance: Implementation Examples -- 6.1 Summary -- 6.2 Miniaturized Radar for E-Health -- 6.3 Microwave Integrated Circuit -- 6.3.1 The Substrates -- 6.3.2 Design, Simulation, and Realization of Microwave Integrated Circuits -- 6.4 Low-Cost Radar Prototype for Harbor Surveillance -- 6.4.1 Feasibility Study and Dimensioning -- 6.4.2 Realization -- 6.4.3 Data Processing -- References -- 7 Automotive Radar IC Design: 24-GHz UWB and 77-GHz FMCW Implementation Examples -- 7.1 Silicon Technologies for Automotive Radar -- 7.2 A Fully Integrated 24-GHz UWB SRR Sensor -- 7.2.1 Sensor Architecture -- 7.2.2 PLL Circuit Design -- 7.2.3 RX Circuit Design -- 7.2.4 TX Circuit Design -- 7.2.5 On-Chip Inductive Component Design -- 7.2.6 Radar Sensor Implementation -- 7.3 Transmitter Chipset for 24-/77-GHz Automotive Radar Sensors -- 7.3.1 Design of the 77-GHz TX Front-End -- 7.3.2 Experimental Results of the 77-GHz TX Front-End -- 7.4 W-Band TX Front-End for FMCW Automotive Radar -- 7.4.1 Design of the W-Band TX Front-End -- 7.4.2 Experimental Results of the W-Band -- 7.5 W-Band RX Front-End for FMCW Automotive Radar -- 7.5.1 Design of the W-Band RX Front-End -- 7.5.2 Experimental Results of the W-Band RX Front-End -- References -- 8 Conclusions -- List of Acronyms -- About the Authors -- Index.
In recent years, advances in radio detection and ranging technology, sustained by new achievements in the fields of signal processing and electronic components, have permitted the adoption of radars in many civil and defense applications.This resource discusses how highly integrated radar has been adopted by several new markets such as contactless vital sign monitoring (heart rate, breath rate) or harbour traffic control, as well as several applications for vehicle driver assistance. You are provided with scenarios, applications, and requirements, while focusing on the trade-offs between flexibility, programmability, power consumption, size and weight, and complexity.