Radio Emitter Geolocation Using Single-Sensor Coherent Integration
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Solution Overview
Problem
Existing geolocation techniques for radio signal emitters are inadequate for accurately determining the locations of weak signals and those with strong co-channel interference, often requiring specific knowledge of the emitter signals and relying on multiple sensors.
Innovation Solution
The use of Patterned Blind Coherent Integration (PBCI) techniques, which leverage known signal patterns and stable system clocks to estimate emitter locations using a single sensing device, by coherently integrating signals with inverted channel effects to enhance accuracy and reduce hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional triangulation techniques are used for geolocation, then location determination can be achieved, but the system requires multiple synchronized sensors and specific signal knowledge, increasing device complexity and resource requirements
Solution Approach 1:
The patent applies universality by developing a geolocation system that can handle multiple signal types (spread spectrum, OFDM, radar, etc.) and various emitter scenarios using a single detector. The PBCI technique provides a universal approach that works across different signal formats and modulation schemes, eliminating the need for specialized detectors for each signal type while maintaining accurate location determination.
Solution Approach 2:
The patent extracts the essential requirement from traditional triangulation methods by removing the need for multiple synchronized sensors and prior signal knowledge. The PBCI technique isolates the core function of coherent integration and applies it to a single detector scenario, extracting only the necessary elements (signal pattern matching, coherent integration) while discarding unnecessary complexities (multiple sensors, synchronization requirements).
2Measurement precision
If specific signal analysis techniques are designed for particular signal types, then accurate localization can be achieved, but the system lacks adaptability to different signal formats and requires multiple specialized detectors
Solution Approach 1:
The patent implements universality by creating a single PBCI-based detector that can process various signal types including spread spectrum, OFDM, radar, and other modulated signals. The technique uses universal operations (correlation, coherent integration, pattern matching) that are applicable across different signal formats, providing both accuracy and adaptability without requiring specialized detectors for each signal type.
Solution Approach 2:
The patent applies parameter changes by adjusting the PBCI technique to accommodate different signal characteristics. The system modifies integration parameters, pattern templates, and processing configurations based on the specific signal type being analyzed, allowing the same fundamental technique to adapt to various signal formats while maintaining localization accuracy.
3Reliability
If blind coherent integration is used to process weak signals, then signal detection capability improves, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by implementing a two-stage PBCI process: a coarse integration stage that quickly identifies potential signal candidates, followed by a fine integration stage that processes only the identified candidates with higher precision. This approach performs partial coherent integration on the full signal set and excessive (detailed) integration only on promising candidates, reducing overall processing time while maintaining weak signal detection capability.
Solution Approach 2:
The patent uses preliminary action by performing initial signal characterization and pattern recognition before executing the full coherent integration process. The system pre-processes signals to identify candidates that match expected emitter patterns, then applies the computationally intensive PBCI technique only to these pre-selected candidates, thereby reducing total processing time while maintaining reliability for weak signal detection.
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
First information is obtained from a sensing device (102) at a first time. The first information (112a) corresponds to a radio signal received at the device from a candidate location (112). The device is at a first location (102a) at the first time. Second information (112b) is obtained from the device at a second time. The second information corresponds to a radio signal received at the device from the candidate location. The device is at a second location (102b) at the second time. A system (100) determines that a pattern is in each of the first and second information and determines relationships between the candidate location and the device at each first and second location. The system obtains inverses of the relationships and determines estimates of the received radio signals based on the information and inverses. The system measures or estimates energy emitted from the candidate location based on the estimates.