Design and Development of AI Based Self learning Communication Jammer

With the rapid development of cognitive radio technology, current cognitive terminals can adaptively or intelligently switch channel by spectrum sensing and decision-making. Most of the traditional jamming methods, such as swept jamming and comb jamming, generally work in a relatively fixed pattern,

Project Title

Design and Development of AI Based Self learning Communication Jammer

Project Area of Specialization

Information & Communication Technology

Project Summary

With the rapid development of cognitive radio technology, current cognitive terminals can adaptively or intelligently switch channel by spectrum sensing and decision-making. Most of the traditional jamming methods, such as swept jamming and comb jamming, generally work in a relatively fixed pattern, which are not able to effectively jam the terminals empowered with cognition and spectrum decision-making capability. In view of this problem, the authors propose an intelligent jamming decisionmaking system based on reinforcement learning. The jammer would employ spectrum sensing Q-learning algorithm of Reinforcement Learning for converging to an optimum jamming technique at its own without prior knowledge of underlying communication link protocols. The jammer exploits the environment and give optimal output while utilizing minimal resources.

Project Objectives

Jammer intelligently launch jamming to wireless communication system due to its inherent capability to self-learn the optimum decision-making policy under different scenarios. The proposed jamming approach exploits the environment to understand the communication protocol which is being used for communication at its own and achieves effective jamming while conserving minimal amount of jamming power. As it uses the Q learning algorithm to learn an optimum policy, which guides an AI agent to take most suitable action under a certain scenario (commonly known as a state). The agent interacts with the environment by taking actions and learns from the responses of those actions in terms of rewards. In this way, the agent converges to an optimum policy to maximize the long-term reward

Project Implementation Method

• Literature review and learning of software • Train the agent to learn the communication protocol and to disrupt it using minimal resources • Simulate it to verify the jamming performances • Real Time Implementation of jammer using SDR in lab

Benefits of the Project

This project conforms significantly with the National needs. Jamming is a form of electronic warfare where jammers radiate interfering signals toward an enemy’s radar, blocking the receiver with highly concentrated energy signals. As this project is using RL based method to build the jammer so it will effectively learn the communication link protocol and using minimal resources can jam it. It will be beneficial in following ways • Man power will be reduced as there will be no need of an operator because AI agent will do its work more effectively and optimally. • It also help in defensive system by deteriorating the opposing side communication quality with appropriately releasing jamming signals and will be an effective technique of electronic warfare. Because AI jammer effectively learn the communication protocol of enemy’s aircraft and jam it. With the help of this enemy will no longer be able to have any RT with its base station. • It can also serve as a stealth technology if it is installed on an aircraft. Since noise from numerous sources is always present and displayed on a radar scope, noise jamming adds to the problem of target detection. Reflected radar pulses from target aircraft are extremely weak. To detect these pulses, a radar receiver must be very sensitive and be able to amplify the weak target returns. Noise jamming takes advantage of this radar characteristic to delay or deny target detection.

Technical Details of Final Deliverable

Jam the auto changing frequency

Final Deliverable of the Project

Hardware System

Core Industry

Security

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

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