Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{200896,
author = {Kajal and Bhoomi Srivastava and Mansi Joshi and Dr. Rajan Singh},
title = {Miniature Doppler Radar for Speed and Object Detection},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {2183-2190},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=200896},
abstract = {This paper presents a miniature Doppler radar system for real-time speed and object detection. Existing radar systems provide high accuracy but suffer from high complexity, cost, and difficulty in real-time implementation. Some interference issues, such as noise and signal interference, affect the performance of Doppler radar systems. Noise and signal interference generally affect the performance of a Doppler radar system. The proposed system presented here addresses these issues by employing an HB100 radar sensor along with an Arduino-based processing unit. This system shows efficient and cost-effective implementation. A signal conditioning circuit is used to improve signal quality and reduce noise; The system achieves approximately 90 percent accuracy with a detection range of up to 30–35 meters and a response time of less than 100 Ms. The compact design and low power consumption make it suitable for real-time applications such as traffic monitoring and surveillance.},
keywords = {Doppler Radar, Speed Detection, Object Detec- tion, Microwave Sensors, Frequency Shift, Embedded Systems},
month = {May},
}
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