Disjoint Bandwidth Positioning Using Matrix Pencil TDOA Processing
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Solution Overview
Problem
Existing wireless positioning technologies face challenges in accurately determining the location of user equipment (UE) in complex environments with high multipath interference, particularly in 5G networks, where traditional methods struggle to handle disjoint bandwidth segments effectively.
Innovation Solution
The implementation of a matrix pencil algorithm for processing RF signals across disjoint frequency layers, combined with time alignment processing, to enhance the accuracy of time difference of arrival (TDOA) estimation in multipath environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods are used in 5G networks with disjoint bandwidth segments, then device compatibility is maintained, but positioning accuracy deteriorates due to high multipath interference
Solution Approach 1:
The patent divides the frequency spectrum into multiple disjoint bandwidth segments (frequency layers) and processes signals from each segment separately using the matrix pencil algorithm. This segmentation allows the system to handle multipath interference in each segment independently, improving overall positioning accuracy in 5G networks where traditional single-bandwidth methods fail.
Solution Approach 2:
The patent changes the processing approach by applying the matrix pencil algorithm specifically designed for disjoint bandwidth segments, rather than using traditional positioning methods. This parameter change in the signal processing technique enables accurate TDOA estimation even when bandwidth segments are separated, thereby improving positioning accuracy under multipath conditions.
2Measurement precision
If matrix pencil algorithm is applied across disjoint frequency layers, then TDOA estimation accuracy is improved, but computational complexity increases
Solution Approach 1:
By segmenting the disjoint frequency layers and applying the matrix pencil algorithm to each segment separately, the patent manages computational complexity through divide-and-conquer. This approach improves TDOA estimation accuracy while keeping processing requirements manageable by avoiding the need to process all frequency layers simultaneously as a single large dataset.
Solution Approach 2:
The patent performs time alignment processing as a preliminary step before applying the matrix pencil algorithm to each frequency layer. This preliminary action prepares the signals in advance, reducing the computational burden during the main TDOA estimation process and making the overall system more efficient despite the increased accuracy requirements.
3Measurement precision
If time alignment processing is performed before matrix pencil algorithm, then positioning accuracy is improved, but processing time is increased
Solution Approach 1:
The patent performs time alignment as a preliminary action before applying the matrix pencil algorithm, which improves the accuracy of subsequent TDOA estimation. By preparing the signals in advance with proper time alignment, the patent ensures that the main processing algorithm works with optimally prepared data, improving overall positioning accuracy despite the additional processing step.
Solution Approach 2:
The patent segments the processing into distinct stages (time alignment, then matrix pencil algorithm application to each frequency layer). This segmentation allows each stage to be optimized independently, improving positioning accuracy through proper sequencing while managing processing time by avoiding redundant operations across the entire signal set at once.
Data Source
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AI summary
Disclosed are techniques for wireless communication. In an aspect, a network node receives a reference signal comprising a plurality of time and frequency resources, the plurality of time and frequency resources spanning a plurality of disjoint bandwidth segments, the plurality of disjoint bandwidth segments being time aligned or having a known time offset with respect to each other, and determines a time of arrival (ToA) of the reference signal based on jointly processing the plurality of time and frequency resources of the reference signal across the plurality of disjoint bandwidth segments.