![]() Alabaster, Pulse Doppler radar: principles, technology, applications, vol. Bezousek, Commercial CW Doppler radar design and application, in 2017 27th International Conference Radioelektronika (RADIOELEKTRONIKA) (2017), pp. Park, A pulse-Doppler and fmcw radar signal processor for surveillance, in 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) (2011), pp. Ali, Automotive radars: a review of signal processing techniques. Govindaswamy, Antenna selection and adaptive power allocation for IA-based underlay CR. Piuzzi, A survey of radar systems for medical applications. Wang, Method for distinguishing humans and animals in vital signs monitoring using IR-UWB radar. Siciliano, A radar-based smart sensor for unobtrusive elderly monitoring in ambient assisted living applications. Sligar, Machine learning-based radar perception for autonomous vehicles using full physics simulation. Contreras-Castillo, Sensor technologies for intelligent transportation systems. Jukan, Improving animal-human cohabitation with machine learning in fiber-wireless networks. ![]() Torresen, Ambient sensors for elderly care and independent living: a survey. Fritz, Using smart city technology to make healthcare smarter. Bradley, Advanced driver-assistance systems: a path toward autonomous vehicles. Won, Intelligent traffic monitoring systems for vehicle classification: a survey. Bassi (eds.), Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions (Springer, 2016) Rajput (eds.), Sustainable Smart Cities in India: Challenges and Future Perspectives (Springer, Berlin, 2017) Kumar, Smart environment for smart cities, in Smart Environment for Smart Cities, (Springer, Singapore, 2020), pp. Thus the intelligent radar systems add greater value to the smart environment compared to other non-radar methods. Moreover, this chapter explains the deep learning algorithms used for detection and classification of human and animal activity. ![]() This book chapter provides an overview of different types of radars and their respective signal processing aspects used for detecting the human and animal activity. Also, the micro-Doppler effect on the return signal that occurs due to the micromotion dynamics such as vibrations or rotations can be used to identify the specific type of the target. The signature waveform received from the moving object is used to estimate the range and the velocity of multiple targets based on Doppler drift. Radars operating in mm-wave range are preferred due to small size, good angular resolution, small apertures, and low cost. Radar-based technology is known to provide better solutions compared to vision-based systems as the latter is prone to the adverse effects of lighting and weather conditions. One promising technology for smart environment monitoring is the radar-based moving object tracking and classification. Monitoring the environment plays a significant role in the evolution of a smart city with enhanced safety, comfort, and security.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |