Spatio-Temporal Geo-Location via Joint Parameter Estimation
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Solution Overview
Problem
Current geo-location methods face challenges in unambiguously locating multiple transmitters without prior knowledge of signal characteristics, optimizing signal bandwidth processing, and efficiently estimating transmitter positions using Angle Of Arrival (AOA), Time Of Arrival (TOA), or Time Difference Of Arrival (TDOA) parameters, especially in broadband and multipath environments.
Innovation Solution
A spatio-temporal processing approach that integrates sampling periods into an observation vector, allowing for joint estimation of angles of arrival or positions of transmitters across multiple stations, exploiting all signals and frequency channels without saturating the network, and using a parametric model to associate transmitter parameters naturally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional separate parameter estimation methods are used on each receiving station, then the device complexity is reduced, but the geo-location precision deteriorates due to inability to unambiguously associate parameters of the same transmitter
Solution Approach 1:
The patent combines separate parameter estimation processes at multiple receiving stations into a unified joint estimation process. Instead of estimating AOA, TOA, or TDOA parameters independently at each station and then trying to associate them, the invention jointly estimates all location parameters from all received signals simultaneously, ensuring unambiguous association of parameters belonging to the same transmitter while improving geo-location precision
Solution Approach 2:
The patent creates a universal processing framework that can handle multiple types of location parameters (AOA, TOA, TDOA) and multiple transmitters simultaneously through a single joint estimation algorithm. This multi-functional approach replaces multiple separate estimation processes, reducing overall system complexity while maintaining high precision through unified parameter association
2Adaptability or versatility
If broadband signals are processed without a priori assumptions about spectral occupancy, then the adaptability is improved, but the measurement precision deteriorates due to difficulty in optimal bandwidth consideration
Solution Approach 1:
The patent changes the processing approach from frequency-specific separate estimations to a unified time-domain joint estimation that naturally handles broadband signals. By formulating the estimation problem in terms of arrival times and using the relationship between AOA and TOA/TDOA through geometric parameters, the system achieves optimal utilization of the entire signal bandwidth without requiring a priori spectral assumptions, thereby maintaining both adaptability and precision
3Ease of operation
If multiple transmitters are geo-located without prior signal knowledge, then the ease of operation is improved, but the difficulty of detecting and measuring increases due to blind association requirements
Solution Approach 1:
The patent performs preliminary joint estimation of all location parameters (AOA, TOA, TDOA) for all transmitters simultaneously before any association is needed. By establishing the geometric relationships between transmitters, receiving stations, and propagation paths in advance through unified estimation, the system eliminates the subsequent difficult step of blindly associating parameters, making the overall process easier to operate
Solution Approach 2:
The patent introduces geometric parameters (transmitter position coordinates, path lengths, propagation speeds) as intermediaries that naturally link AOA and TOA/TDOA measurements. These intermediary parameters serve as the bridge that automatically associates location parameters from different stations and modalities, eliminating the need for complex blind association algorithms while enabling easy operation
Data Source
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AI summary
A multi-transmitter geolocation method using spatiotemporal processing of signals received by station antennas or sensors allows for the coherent and adaptive processing of all frequency channels from the sources. The method consists of simultaneously processing all signals received by the stations using a parametric model that naturally associates the parameters of the same transmitter. This avoids a parameter-independent estimation step (suboptimal in terms of performance) which requires an association step of parameters from the same transmitter to perform an unambiguous and more precise estimation of the transmitters' positions.