COMPUTATIONAL FRAMEWORK FOR HUMAN DETECTION THROUGH IMPROVED ULTRA-WIDE BAND RADAR SYSTEM

被引:0
|
作者
Prasanna, R. [1 ,6 ]
Prathaban, Banu Priya [2 ]
Jenath, M. [3 ]
Rajendran, Subash [4 ]
Ashokkumar, M. [5 ]
机构
[1] SRM Inst Sci & Technol, Dept Elect & Commun Engn, Ramapuram Campus, Chennai, India
[2] SRM Inst Sci & Technol, Sch Comp, Dept Networking & Commun, Chennai, India
[3] Sri Sai Ram Engn Coll, Dept Elect & Commun Engn, Chennai, India
[4] SRM Inst Sci & Technol, Sch Comp, Dept Comp Technol, Chennai, India
[5] Mohamed Sathak AJ Coll Engn, Dept Elect & Elect Engn, Chennai, India
[6] Sri Sai Ram Inst Technol, Dept Elect & Commun Engn, Chennai, India
关键词
human detection; UWB radar; tri-band; microstrip; UWB antenna; positioning; UWB; LOCALIZATION; HIDDEN;
D O I
10.1615/IntJMultCompEng.2023047756
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a framework for human detection using an ultra-wideband (UWB) radar system and proposes a novel UWB radar antenna design with double-winding structures for radar applications. The proposed antenna achieves high gain and bandwidth, overcoming the shortcomings of Vivaldi antennas, which are the preferred antennas for radar applications. In the proposed novel design, winding structures are incorporated nearer to the main resonator, which suppresses harmonic distortion and enhances the radar detection process. The proposed antenna is designed to cover a frequency range from 6 GHz to 10.5 GHz. The design is analyzed for different design configurations with and without winding structures. However, the dual-side winding structure configuration achieves better performance than the single-side winding structure. The proposed design achieves a maximum bandwidth of 2.09 GHz in the dual side winding structure configuration, which is a remarkable achievement for radar and precise locating applications. The proposed design achieves improved return loss performance greater than -10 dB in all operating frequencies and voltage standing wave ratios equal to 1 with improved gain and directivity.
引用
收藏
页码:35 / 45
页数:11
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