Microwave Engineering and Radar System Project

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Team : 15Author: Mst.Sumi Khatun (SID: 2202130)Afia Jahan (SID: 2202112)Project Name:Real-Time Angle and Range Detecti...
05/12/2025

Team : 15

Author:
Mst.Sumi Khatun (SID: 2202130)
Afia Jahan (SID: 2202112)

Project Name:Real-Time Angle and Range Detection Using Ultrasonic Radar System

Details:
🔧📡 This project demonstrates a real-time radar system that can detect objects by measuring both angle and distance (range) using an Ultrasonic Sensor. The system uses an Arduino microcontroller to control a servo motor that rotates the ultrasonic sensor from 0° to 180°, continuously scanning the environment.
The ultrasonic sensor sends sound waves and measures the echo time to calculate the distance of any object in its path. The servo motor changes the angle step-by-step, allowing the system to detect objects within a wide scanning area.
The data (angle + distance) is sent to a computer using Serial Communication, where a Radar Interface (Processing Software) visually displays the real-time object position. If an object is detected within the defined range, the radar shows a red alert; otherwise, the safe zone is displayed in green.
This project combines Arduino programming, sensors, servo control, and data visualization, making it useful for security systems, robotics, automation, and smart monitoring applications.
Designed and implemented a radar system using Arduino UNO + HC-SR04 Ultrasonic Sensor + Servo Motor.The system scans 0–180° and detects objects with live distance output.Feeling proud to see it fully working!
Circuit Diagram:

Project No 5Author:Md. Istiuk Ahmed Mitul (2202119)Md. Ruhul Amin Maruf (2202122)Advanced FMCW Radar Simulation: Multi-T...
04/12/2025

Project No 5

Author:
Md. Istiuk Ahmed Mitul (2202119)
Md. Ruhul Amin Maruf (2202122)

Advanced FMCW Radar Simulation: Multi-Target Range & Velocity Detection Using Python

Project Highlights:

Simulated a full FMCW radar system in Python capable of detecting multiple moving targets simultaneously
Achieved precise range (

Team : 22Author: Pijush Kanti Roy Partho (SID: 2202139)Suchi Karmoker (SID: 2202104)Project Name: Mili-Meter (mmWave) Mi...
04/12/2025

Team : 22

Author:
Pijush Kanti Roy Partho (SID: 2202139)
Suchi Karmoker (SID: 2202104)

Project Name: Mili-Meter (mmWave) Microstrip Patch Antenna Sensor Design for Breast Tumor Detection
Project Discussion

The work is motivated by the physical advantages of the mmWave spectrum (30–300 GHz), which offers deeper pe*******on through soft tissue and higher spatial resolution compared to traditional microwave imaging bands. Its non-ionizing nature makes it suitable for biomedical diagnostics. These properties have already led to applications in security screening and medical anomaly detection. Breast cancer remains a critical global health challenge, and while early diagnosis greatly improves outcomes, existing imaging modalities suffer from inherent limitations—cost, radiation exposure, operator variability, and insufficient contrast. Conventional MWI systems operating below 20 GHz also fail to reliably detect very small tumors because of inadequate resolution. The recent availability of dielectric property data above 20 GHz creates an opportunity to shift toward mmWave imaging to achieve finer detail and improved detectability.

Objective

The objective is to design and evaluate a compact mmWave antenna operating above 30 GHz that can detect early-stage breast tumors with diameters on the order of 1 mm while maintaining safe specific absorption rate levels. The design aims to exploit the enhanced resolution of mmWave frequencies and demonstrate suitability for both biomedical imaging and high-frequency wireless applications. The antenna should exhibit high gain, high radiation efficiency, and wide bandwidth in the 30–40 GHz range, enabling dual use in emerging 5G communication systems and next-generation medical imaging platforms.

Team : 14Author :Khadizatul Kubra Keya (2202136)Simi Basak(2202109)Project name: AirGuard IoT Monitoring SystemDetails :...
04/12/2025

Team : 14
Author :
Khadizatul Kubra Keya (2202136)
Simi Basak
(2202109)

Project name: AirGuard IoT Monitoring System

Details : The AirGuard IoT Monitoring System is designed to provide real-time environmental monitoring by integrating multiple sensors with the ESP32 microcontroller. It detects air pollutants such as CO, COâ‚‚, smoke, as well as temperature, humidity, and dust/PM concentration. Sensor data is processed by the ESP32 and transmitted via Wi-Fi to a cloud, enabling remote monitoring.

Project no : 03Project Name : Air Defeance systemProject Coordinator : foysal Iqbal utsob(2202113)Nahin muntaha(2202142)...
04/12/2025

Project no : 03

Project Name : Air Defeance system

Project Coordinator : foysal Iqbal utsob(2202113)
Nahin muntaha(2202142)

Project Goal : We have created a Dual Ultrasonic Radar System that uses two ultrasonic sensors to detect objects in a wider range with better accuracy.
Both sensors scan the surroundings and send distance data, which is then displayed as a radar map.

Project no : 08Project Name : Pulsed Radar AnalysisProject Coordinator : Belal(2202101) , Udoy(2202103)Project Goal : Th...
03/12/2025

Project no : 08

Project Name : Pulsed Radar Analysis

Project Coordinator : Belal(2202101) , Udoy(2202103)

Project Goal : The goal of this project is to simulate a complete pulsed radar signal chain to demonstrate the detection of moving targets in a cluttered environment.

Project No: 09Project Name: Drone Detection Using Doppler Radar.Project Coordinator: MD. Rifat Islam (2202105) MD. Nahid...
03/12/2025

Project No: 09

Project Name: Drone Detection Using Doppler Radar.

Project Coordinator: MD. Rifat Islam (2202105)
MD. Nahid Hasan (2202127)

Project Details:
This project presents a real-time Drone Detection Radar Simulation that uses computer vision and motion tracking to identify moving objects and estimate their speed and distance. A camera feed is processed to detect contours, track unique object IDs, and calculate velocity using pixel-to-meter conversion. The system applies a customizable drone-velocity threshold to determine whether an object behaves like a drone. A live bar chart displays object velocities, helping visualize motion patterns instantly. The interface includes adjustable parameters such as focal length, contour size, and known object height for flexible calibration. Additionally, a built-in alarm system (siren) alerts the user whenever a potential drone is detected. Overall, the project simulates how Doppler-based detection works using accessible vision-based techniques.

Project No: 21Project Name: Rectangular Waveguide Mode Solver Using PythonProject Coordinator: Md.Abdul Kafi (ID-2102136...
03/12/2025

Project No: 21

Project Name: Rectangular Waveguide Mode Solver Using Python

Project Coordinator: Md.Abdul Kafi (ID-2102136)
MD.Shahin Alom Rana (ID-2202111)

Our Presentation Topic is Rectangual waveguide Mode Solver Using Python and we will be discuessing 5 part of it's

1.Introduction of Rectangulae Waveguide mode
2.Objective of the Project
3. Concept of Waveguide Modes
4. Cutoff Frequency
5.Python Implementation

Project No. 11Project name: Radar Object Tracking System using Kalman Filter Project coordinator: Md. Jannatul Ferdous (...
03/12/2025

Project No. 11

Project name: Radar Object Tracking System using Kalman Filter

Project coordinator: Md. Jannatul Ferdous (Student Id: 2202102)
Asif Ahamed Sheam(Student Id:2202107)

Details: This project simulates a radar system that tracks multiple moving objects using a Kalman Filter. The radar generates noisy measurements of object positions, and the Kalman Filter predicts and updates each target’s state to provide accurate position estimates.

Project No. 06Project Name : ARC-Sense LRS ( Automatic Radar Control Sense System - Limited Range Scan)Project Co-ordina...
03/12/2025

Project No. 06

Project Name : ARC-Sense LRS ( Automatic Radar Control Sense System - Limited Range Scan)

Project Co-ordinator : Irtiza Hossain Deya and Hima Akter

I am excited to share my project titled ARC-Sense LRS, which I have developed with great interest and effort. This project reflects my understanding of sensor-based systems, microcontroller programming, and real-time visualization.

Project Overview :

🎯 ARC-Sense LRS is a compact radar-like object detection system designed using Arduino.
The system performs a limited-range angular scan using a servo-mounted ultrasonic sensor. At each degree of rotation, the sensor measures distance and sends the data to Arduino, which processes the reading and provides both digital and visual feedback.

The project integrates:

-- Real-time scanning

-- Accurate short-range object detection

-- Instant alert mechanisms (LED, buzzer, and LCD)

-- Radar-style visualization through Processing software

Whenever an object comes within the defined range, the system immediately triggers alerts and displays the detection on both the LCD and radar screen. This project successfully demonstrates the core principles of radar—scanning, sensing, and visualization—using simple electronic components and microcontroller logic.

Project No. 07Project name: Air Traffic Control RadarProject coordinator: Ahmedul Alam (Student Id: 2202146)Rifah Nanzib...
03/12/2025

Project No. 07

Project name: Air Traffic Control Radar

Project coordinator: Ahmedul Alam (Student Id: 2202146)
Rifah Nanziba (Student Id:2202116)

Details: This project visually shows how a radar tracks multiple aircraft, updates their positions continuously and displays important system information, weather, and airport data. It is done in Python.

Project No. 10Project Name: Motion Sensing Using Microwave Doppler EffectProject Coordinator: Noore Zannat and Anika Na...
03/12/2025

Project No. 10

Project Name: Motion Sensing Using Microwave Doppler Effect

Project Coordinator: Noore Zannat and Anika Nawar

📡 Motion Detection & Counting System
Today we completed a smart project that can detect human/object motion using the RCWL-0516 microwave Doppler sensor. The system can sense motion, count total detections, and display the detection time automatically!

Using the RCWL-0516 sensor and Arduino, the system identifies microwave Doppler shifts when motion occurs. An LED and buzzer turn on instantly during detection, and the live count & time are shown on the serial monitor.

This project can be used in security systems, smart monitoring, automation, and safety applications.
Feeling great to build something practical and useful!

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Hajee Mohammad Danesh Science And Technology University
Dinajpur

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