Software-Defined Radio Jamming Detection and Direction Finding
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Solution Overview
Problem
Existing systems fail to effectively detect and locate sources of radio frequency jamming, hindering communication by identifying jammed frequency bands and determining the direction and location of the jamming source.
Innovation Solution
A jamming detection system (JDS) using a mobile device with a software-defined radio (SDR) to monitor frequency bands, perform signal analysis, and triangulate the jamming source through a mesh network of interconnected devices, providing user interfaces for visualization of jamming status and direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a mobile device monitors frequency bands to detect jamming, then detection capability is improved, but device complexity increases
Solution Approach 1:
The mobile device performs multiple functions including frequency band monitoring, signal waveform analysis, direction finding, and location triangulation using a unified software-defined radio architecture. This multi-functional approach improves detection capability while avoiding the need for separate dedicated jamming detection hardware systems.
Solution Approach 2:
The patent uses signal waveform information as an intermediary to detect jamming. Instead of directly detecting the presence of jamming, the system analyzes signal waveforms from the software-defined radio to identify jamming conditions, making the detection process more manageable and less complex.
2Measurement precision
If signal waveform information is collected from 360 span to determine jammer direction, then direction detection accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system segments the 360-degree spatial coverage into multiple directional measurements, collecting signal waveform information from different angular positions. This segmentation allows the system to process direction finding in manageable increments rather than attempting to analyze the entire 360-span simultaneously, reducing processing complexity.
Solution Approach 2:
The patent adds the spatial dimension to signal analysis by collecting waveforms from a 360-span around the device. This dimensional approach enables direction determination by comparing signal characteristics across different spatial positions, improving accuracy while using standard signal processing techniques.
3Measurement precision
If multiple mobile devices participate in triangulation to locate jamming source, then location precision is improved, but network coordination complexity increases
Solution Approach 1:
The patent combines measurements from multiple mobile devices to perform triangulation and locate the jamming source. By merging data from multiple independent devices, the system achieves higher location precision while distributing the computational burden across the network rather than concentrating complexity in a single device.
Solution Approach 2:
The system uses feedback from multiple devices reporting their respective measurements and locations to continuously refine the triangulation calculation. This feedback mechanism allows the network to converge on an accurate jamming source location while managing coordination through standardized information exchange protocols.
Data Source
AI summary
A mobile device sends to a radio communicatively coupled to the mobile device, an instruction to monitor a frequency band. It is determined that the frequency band is jammed by a jamming source. The mobile device receives, from the radio, signal waveform information corresponding to the frequency band that is received by the radio from a 360 span about the radio. Based on the waveform information a direction of the jamming source is determined. The mobile device presents on a display device information that indicates that the frequency band is being jammed, and a direction of the jamming source with respect to a current location of the radio.