Project Idea
Wireless communication systems are more vulnerable tojamming and interference attacks that disrupt signal transmission and degrade reliability. This project proposes an ication. The proposed system continuously analyses the conditiointelligent Software Defined Radio (SDR) system with Artificial Intelligence for secure and reliable wireless commu nns of the signals detects the interference in real time and adaptively responds to maintain the communication performance. In addition the encryption module is designed to improve data tability, lower BER, and more reliable communication compconfidentiality and reduce unauthorised interception. The system was simulated and tested in different jamming conditions using GNU Radio and Python. The results showed improved signal sared to conventional systems.
01
The Beginning
The idea started from the vulnerability of Wireless Communication systems to Jamming and Interference, which affect communication stability and reliability. The project therefore combines SDR with AI to create a system that can detect and respond to interference automatically.
02
The Idea
The project provides an AI-powered SDR system capable of real-time interference detection and adaptive response, along with encryption for data protection, improving communication reliability and reducing BER.
03
The Experience
The project progressed from identifying the Jamming problem to designing a system combining SDR, AI, and encryption. The system was then simulated using GNU Radio and Python under different Jamming conditions and evaluated based on signal stability, BER, and communication reliability.
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