Blind Coherent Integration for Radio Emitter Geolocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining the location of radio emitters, especially in scenarios with weak signals or strong co-channel interference, are inadequate as they require specific knowledge of the signal format and structure, and struggle with accurate geolocation in noisy environments.
Innovation Solution
The use of Blind Coherent Integration (BCI) techniques, which involve synchronized sensing devices to process radio signals using time delay and Doppler offset corrections, allowing for coherent integration and accurate geolocation of radio emitters without prior knowledge of the signal type or structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional signal processing methods are used to determine emitter locations, then the system requires specific knowledge of signal format and structure, but this limitation reduces the system's ability to accurately geolocate emitters in noisy environments with weak signals or strong co-channel interference
Solution Approach 1:
The patent changes the processing approach from traditional signal format-dependent methods to blind coherent integration that operates on signal energy parameters. By transforming the problem from signal structure analysis to energy-based spatial integration, the system achieves both high geolocation accuracy and independence from specific signal formats, resolving the contradiction between measurement precision and adaptability
Solution Approach 2:
The patent replaces traditional signal processing mechanisms that rely on format recognition with a physics-based coherent integration approach. Instead of mechanically analyzing signal structures, the system uses electromagnetic energy integration across multiple sensors with precise timing synchronization, substituting format-dependent processing with format-independent physical principles
2Adaptability or versatility
If Blind Coherent Integration techniques are used to process radio signals, then the system achieves accurate geolocation without prior knowledge of signal type, but this requires sophisticated signal processing that increases computational complexity
Solution Approach 1:
The patent segments the complex blind coherent integration process into distinct functional modules: timing synchronization, candidate location identification, coherent integration, and energy measurement. By dividing the sophisticated processing into manageable segments, the system achieves signal type independence while making the computational complexity more tractable through modular architecture
Solution Approach 2:
The patent performs preliminary timing synchronization and candidate location identification before executing the computationally intensive coherent integration. By preparing the signal data and identifying potential emitter locations in advance, the system reduces the complexity of the main processing stage while maintaining adaptability to unknown signal types
3Productivity
If synchronized sensing devices perform coherent integration of radio signals, then the system improves processing speed and reduces energy consumption, but this requires precise clock synchronization between devices which increases system complexity
Solution Approach 1:
The patent implements feedback mechanisms where sensing devices continuously monitor and adjust their clock synchronization based on received signals from other devices. This feedback loop enables precise timing alignment necessary for coherent integration while automating the synchronization process, thereby improving processing speed without proportionally increasing system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
BCI techniques enable accurate mapping and geolocation of radio emitters in complex environments by coherently integrating signals, improving processing speed and reducing energy consumption, even with limited hardware resources, and are applicable to various platforms like satellites.
Implementation Method 1
process the signals using time delay and Doppler offset corrections
Implementation Method 2
process the signals using time delay and Doppler offset corrections
Data Source
AI summary
First information corresponding to a radio signal received at a first sensing device from a candidate location is obtained. Second information corresponding to a radio signal received at a second sensing device from the candidate location is obtained. A first relationship between the first sensing device and the candidate location and a second relationship between the second sensing device and the candidate location are determined. A first inverse and a second inverse of respectively the first and second relationships are obtained. A first estimate of the radio signal at the first sensing device is determined from the first information and the first inverse. A second estimate of the radio signal at the second sensing device is determined from the second information and the second inverse. Energy emitted from the candidate location is measured based on the first estimate and the second estimate.