SDR Machine Learning Electromagnetic Waveform Prediction
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Solution Overview
Problem
Conventional radio receivers and transmitters are inflexible, allowing them to monitor only a small part of the electromagnetic spectrum and operate with a single communication protocol, limiting their ability to adapt to different frequencies and modulation types.
Innovation Solution
The integration of software-defined radio (SDR) with machine learning enables flexible scanning of the electromagnetic spectrum, allowing for the detection and classification of electromagnetic waveforms and subsequent response actions based on machine-learning models trained to identify various devices and predict future actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional radio receivers and transmitters use fixed circuits with adjustable components, then the device structure is simple and easy to manufacture, but the adaptability to different frequencies and communication protocols is limited
Solution Approach 1:
The patent implements dynamic reconfigurability by replacing fixed circuits with programmable logic devices (PLD) and field-programmable gate arrays (FPGA) that can be dynamically reconfigured through control signals. The circuit structure transitions from static to dynamic, allowing the radio to adapt its frequency response, modulation detection capabilities, and protocol handling based on real-time requirements without physical hardware changes.
Solution Approach 2:
The invention changes key circuit parameters dynamically through software control. The center frequency, bandwidth, and filter characteristics are adjusted by modifying control signals to the PLD/FPGA, enabling the same hardware to operate across multiple frequency bands and protocol standards. This parameter reconfigurability resolves the contradiction by providing versatility without proportionally increasing hardware complexity.
2Adaptability or versatility
If conventional radios are configured for a single communication protocol, then the device complexity is reduced, but the versatility across multiple protocols is limited
Solution Approach 1:
The patent creates a universal radio platform where a single device can handle multiple communication protocols (FSK, PSK, QAM, etc.) and frequency bands through programmable logic. The PLD/FPGA is designed to implement various modulation demodulation algorithms and protocol stacks, allowing one hardware platform to replace multiple specialized radios, thereby achieving multi-functionality without proportionally increasing device complexity.
3Productivity
If software-defined radio is used to enable flexible scanning of electromagnetic spectrum, then the adaptability and scanning capability are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent replaces traditional mechanical or hardware-based signal processing with software-based processing implemented on FPGA. Instead of using physical switches, filters, and oscillators for each frequency band, the system uses programmable logic to perform signal acquisition, demodulation, and analysis software-defined, enabling rapid spectrum scanning and flexible protocol support while managing complexity through integrated circuit design.
Data Source
AI summary
A method includes determining, based at least in part on parameters of a software defined radio (SDR), waveform data descriptive of an electromagnetic waveform. The method also includes generating feature data based on the waveform data. The method further includes providing the feature data as input to a first machine learning model to predict a future action of a device associated with at least a portion of the electromagnetic waveform and initiating a response action based on the predicted future action.