Hybrid RFI Localization Using TDOA and PDOA
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Solution Overview
Problem
Global Navigation Satellite System (GNSS) receivers often experience interference from radio frequency interference (RFI) emitters, which hinders accurate position estimation, and localizing these interference sources is challenging, especially in cases of intentional spoofing or jamming.
Innovation Solution
A hybrid localization technique using multiple receivers to process power measurements, combining Time-Difference-of-Arrival (TDOA) and Power-Difference-of-Arrival (PDOA) methods, with nonlinear least squares estimation and automatic gain control (AGC) measurements to dynamically detect and track RFI emitters, leveraging path-loss coefficients for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple localization techniques (TDOA and PDOA) are combined to improve localization accuracy, then the reliability of RFI emitter localization is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent combines TDOA (Time-Difference-of-Arrival) and PDOA (Power-Difference-of-Arrival) localization techniques into a hybrid system. The TDOA component provides accurate spatial positioning based on signal arrival time differences, while the PDOA component uses signal power measurements to supplement localization, especially in environments where TDOA alone may be insufficient. This merging of multiple localization methods improves overall reliability and accuracy of RFI emitter localization.
2Difficulty of detecting and measuring
If real-time power measurements are monitored and processed from multiple receivers to detect RFI emitters, then the detection capability is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary calibration of path-loss coefficients using TDOA-based localization estimates before executing PDOA localization. This preliminary action establishes accurate reference values for signal power attenuation characteristics in the specific environment, which enables faster and more accurate real-time RFI emitter detection without requiring extensive computational processing during actual detection operations.
Solution Approach 2:
The hybrid localization system uses feedback from TDOA localization results to refine and update path-loss coefficients for PDOA processing. The TDOA estimates provide feedback that improves the accuracy of power-based localization by adjusting environmental parameters, creating a closed-loop system that enhances detection capability while optimizing processing efficiency through iterative refinement.
Data Source
AI summary
Various embodiments of the present technology generally relate to localization of one or more radio frequency interference (RFI) emitters. More specifically some embodiments relate to localization of RFI emitters that interfere with Global Navigation Satellite System (GNSS) receivers by integrating the location estimates of two or more localization techniques. Various embodiments may be used to more accurately estimate an interference source (e.g., an RFI emitter's location) than each localization technique separately.