R.S. Kawitkar,
Prathamesh Chopade,
Pratik Shinde,
Suraj Sidankar,
- Professor, Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India
Abstract
In contemporary defense mechanisms, infrared (IR) sensing has become a fundamental technology for identifying and neutralizing heat-seeking threats, especially concerning aircraft protection. Conventional IR detection systems, such as single-channel radiometers and basic thermal sensors, frequently face restrictions due to low spatial resolution, sluggish data processing, and inadequate user engagement. These constraints can impede the prompt identification of dangers like missile launches or flare activations, potentially endangering mission safety. Additionally, numerous traditional systems lack scalability and real-time processing capabilities, rendering them less effective in rapidly changing and hostile environments where swift situational awareness is essential. To tackle these issues, this study introduces a MATLAB-driven real-time IR intensity measurement and computation system specifically developed for multiple uses. This system can obtain and analyze IR data from distinct wavelength channels one at a time, offering a more detailed and directional insight into thermal activities surrounding an aircraft. By leveraging MATLAB’s powerful graphical user interface (GUI), users can track real-time data feeds, execute signal processing, and interactively adjust parameters like gain, filtering thresholds, and sampling rates. Each channel in this system is linked to a unique IR sensor, strategically arranged to detect thermal signatures over a broader spatial area. These signals are transformed from analog voltages into digital data and displayed in real time, facilitating immediate evaluation of flare discharges or adversarial heat sources. The system also utilizes computational models, including Planck’s Law, for estimating intensity, improving the precision of threat identification.
Keywords: Infrared (IR) sensing, real-time monitoring, flare detection, MATLAB GUI, data acquisition, signal processing, thermal signature, aircraft survivability, electronic warfare, threat detection, Planck’s law, countermeasure deployment, defense technology, directional sensing, scalable system architecture
[This article belongs to Journal of Microwave Engineering and Technologies ]
R.S. Kawitkar, Prathamesh Chopade, Pratik Shinde, Suraj Sidankar. Real-Time IR Intensity Measurement and Computation for Systems. Journal of Microwave Engineering and Technologies. 2025; 12(03):8-13.
R.S. Kawitkar, Prathamesh Chopade, Pratik Shinde, Suraj Sidankar. Real-Time IR Intensity Measurement and Computation for Systems. Journal of Microwave Engineering and Technologies. 2025; 12(03):8-13. Available from: https://journals.stmjournals.com/jomet/article=2025/view=227672
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Journal of Microwave Engineering and Technologies
| Volume | 12 |
| Issue | 03 |
| Received | 02/06/2025 |
| Accepted | 07/06/2025 |
| Published | 10/09/2025 |
| Publication Time | 100 Days |
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