Signal Processing Techniques for Through-Wall Object Imaging Using UWB Antipodal Vivaldi Antenna

• 出版年: JISR on Computing
• 主要な著者: Sajjad Ahmed, Arslan Ahmed Sohoo, Fawad Salam Khan, Imran Khan Keerio, Sarfraz Ahmed
• フォーマット: 論文
• 言語: 英語
• 出版事項: Shaheed Zulfikar Ali Bhutto Institute of Science and Technology 2024-12-01
• 主題: Antipodal Vivaldi antenna (AVA); UWB Through-wall imaging (TWI); Time domain; Personal Communication
• オンライン･アクセス: https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/201
• ISSN: 2412-0448; 1998-4154

Through-wall imaging (TWI) is a critical application in various domains, including security, surveillance, search and rescue, and structural assessment. This paper investigates signal processing techniques to achieve object imaging through walls using an Ultra-Wideband (UWB) Antipodal Vivaldi antenna (AVA). The design and simulation of the UWB AVA antenna optimized for TWI are presented. The antenna exhibits wide bandwidth, low sidelobes, and directional radiation patterns, making them suitable for capturing weak signals reflected from hidden objects. Signal processing plays a crucial role in extracting valuable information from TWI. In this investigation, the focus lies on analyzing time domain signals for TWI, studying the factors influencing the process, and successfully retrieving two-dimensional details of the scanned scene. The proposed approach leverages the unique characteristics of UWB signals, such as their ability to penetrate obstacles and provide fine spatial resolution.