Target Detectability Assessment through Ultrasonic Scattering Analysis of Diverse Target Structures
编号:101 访问权限:仅限参会人 更新:2026-07-22 16:09:58 浏览:14次 Online

报告开始:2026年07月31日 14:40(Asia/Kolkata)

报告时间:15min

所在会场:[S6] Artificial Intelligence Use Cases [S6-6] Artificial Intelligence Use Cases

暂无文件

摘要
Accurate target detectability is a key requirement
for ultrasonic sensing applications such as industrial
inspection, structural health monitoring, underwater
exploration and autonomous navigation. Material
composition, geometry, surface features and ultrasonic
scattering behavior play a significant role in target
detectability. This paper presents a comprehensive
framework for the target detectability assessment based on
the ultrasonic scattering analysis of various target
structures. The approach considered is an ultrasonic
transmitter-receiver system to investigate the reflected and
scattered echo signals from targets made of metal, plastic,
wood and composite materials. Signal preprocessing

techniques such as filtering, amplification and time-of-
flight estimation are used to improve the quality of the

echo, then features are extracted to evaluate the scattering
characteristics and target detectability. Experimental
validation in a controlled laboratory environment was
performed with multiple target structures at different
distances. The proposed framework achieved a target
detection accuracy of 98.2%, precision of 97.8%, recall of
97.5% and F1-score of 97.6%, and an average signal to
noise ratio (SNR) enhancement of 14.8 dB. Moreover, the
system achieved a detection probability of 98.6% with an
average time-of-flight estimation error of less than 1.9%.
The experimental results verify that the proposed
ultrasonic scattering analysis can provide reliable target
characterization, enhanced detectability and improved
measurement accuracy, which makes it suitable for
advanced ultrasonic sensing and non-destructive
evaluation applications.
关键词
Ultrasonic Scattering, Target Detectability, Time-of-Flight, Echo Signal Analysis, Signal Processing, Non-Destructive Testing, Ultrasonic Sensing, Target Characterization, Signal-to-Noise Ratio, Structural Inspection.
报告人
vijayalakshmi chintamaneni
Associate professor associate professor MALLA REDDY ENGINEERING COLLEGE FOR WOMEN HYDERABAD

稿件作者
vijayalakshmi chintamaneni associate professor MALLA REDDY ENGINEERING COLLEGE FOR WOMEN HYDERABAD
发表评论
验证码 看不清楚,更换一张
全部评论
重要日期
  • 会议日期

    07月30日

    2026

    08月01日

    2026

  • 07月28日 2026

    注册截止日期

  • 07月30日 2026

    初稿截稿日期

主办单位
The United Societies of Science
承办单位
Kongunadu College of Engineering and Technology
协办单位
IEEE Section
IEEE Madras Section
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询