Methods and techniques in deep learning : advancements in mmWave radar solutions /
"The advent of deep learning has transformed many fields and resulted in state-of-art solutions in computer vision, natural language processing and speech processing, etc. However, the application of deep learning algorithms to radars is still by and large at its nascent stage. A radar system c...
| Main Authors: | , , , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Piscataway, NJ : Hoboken, New Jersey :
IEEE Press ; John Wiley & Sons, Inc.,
[2023]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "The advent of deep learning has transformed many fields and resulted in state-of-art solutions in computer vision, natural language processing and speech processing, etc. However, the application of deep learning algorithms to radars is still by and large at its nascent stage. A radar system consists of two parts: first, the radar hardware, including the RF transceiver, waveform generator, receiver unit, antenna and system packaging. State-of-art SiGe and CMOS are candidate technologies for mm-wave short-range radars and offer flexibility for integration and smaller form-factor. Second part is the sensing aspect, which relies on signal processing or deep learning algorithms that parses the radar return echo into meaningful target information facilitating a desired application"-- |
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| Physical Description: | 1 online resource (xxiv, 312 pages ; : illustrations.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119910695 (electronic bk.) 1119910692 (electronic bk.) |