TY  - BOOK
T1  - Methods and techniques in deep learning advancements in mmwave radar solutions
A1  - Santra, Avik
LA  - English
PP  - Hoboken, New Jersey
PB  - John Wiley & Sons, Inc.
YR  - 2023
UL  - https://tuklas.up.edu.ph/Record/UP-8028155945064369140
AB  - "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"--
CN  - TK6592.M55 S26 2023
SN  - 9781119910657 (hardback)
SN  - 9781119910664 (adobe pdf)
KW  - Deep learning (Machine learning)
KW  - Millimeter wave radar : Data processing.
KW  - Radar receiving apparatus : Data processing.
KW  - Radar targets : Identification : Data processing.
ER  -