Single-LEO Doppler Positioning for Low-Energy IoT Localization
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Solution Overview
Problem
Existing methods for locating ground-based devices using Low Earth Orbit (LEO) satellites are resource-intensive and lack precision, particularly for resource-constrained IoT devices.
Innovation Solution
A method utilizing Doppler measurements and machine learning models to iteratively refine the geographical search window, employing non-linear and linear regression techniques to enhance precision, allowing location with a single LEO satellite.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple LEO satellites are used for ground-based device location, then measurement precision improves, but device complexity and resource requirements increase
Solution Approach 1:
The patent extracts the location function from a multi-satellite constellation context and implements it using a single LEO satellite. By isolating the essential Doppler measurement mechanism and removing the requirement for multiple satellites, the system achieves location functionality with reduced complexity while maintaining acceptable precision through iterative refinement of the geographical window.
Solution Approach 2:
The patent dynamically adjusts the geographical window parameters (area and center position) across multiple iterations. The window area is reduced and repositioned based on previous estimation results, transforming the search space progressively. This parameter adaptation allows a single satellite to achieve precision comparable to or exceeding traditional multi-satellite systems.
2Measurement precision
If traditional multi-satellite constellations are used for IoT device location, then location accuracy improves, but energy consumption increases
Solution Approach 1:
The patent removes the energy-intensive multi-satellite infrastructure requirement and extracts the core location capability to a single satellite system. This extraction dramatically reduces the energy burden on ground-based IoT devices while preserving location accuracy through intelligent signal processing and iterative geographical window refinement.
Solution Approach 2:
The patent employs a simplified, single-satellite approach that can be deployed more economically and with lower energy requirements compared to maintaining large satellite constellations. The system uses readily available Doppler measurement techniques from a single passing satellite rather than requiring continuous coverage from multiple expensive satellites.
3Measurement precision
If processing power is increased to improve location precision, then measurement precision improves, but device complexity and resource constraints are violated
Solution Approach 1:
The patent performs preliminary actions by pre-defining and pre-processing the geographical window parameters before actual location calculation. The iterative refinement of the geographical window is prepared in advance, allowing the main processing to focus on Doppler measurement analysis rather than exhaustive search across the entire globe. This preliminary structuring reduces real-time processing demands.
Solution Approach 2:
The patent implements dynamic adaptation of the geographical window parameters during the location process. The window area and center are adjusted based on intermediate results, allowing the system to concentrate processing power on the most relevant search regions. This dynamic focusing reduces the overall computational burden while improving precision in the final location estimate.
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
Achieves precise ground-based device location with a precision of around 1 kilometer using a single LEO satellite, reducing resource and energy requirements.
Implementation Method 1
Obtaining Doppler measurements corresponding to a plurality of signals transmitted at a predetermined frequency between the ground-based device and a non-geostationary satellite orbiting a celestial body
Data Source
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AI summary
The invention concerns a method for locating a ground-based device (10) using only one non-geostationary satellite (20), wherein Doppler measurements are extracted from received signals, and a plurality of computing iterations are performed, each computing iteration comprising defining a new geographical window having an area different from an area of a directly preceding geographical window, simulating Doppler curves for a plurality of positions inside the defined geographical window, training a machine learning model with the simulated Doppler curves associated with their position of emission, and obtaining a location of the ground-based device (10) by inputting in the trained model the extracted Doppler measurements.