Position Determination Using Carrier-Dependent Channel Signatures
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Solution Overview
Problem
Current 5G wireless networks face challenges in achieving high localization accuracy for devices, particularly in determining the position of apparatuses within communication systems, due to limitations in channel information modeling and signal processing.
Innovation Solution
The proposed solution involves receiving reference signals from multiple nodes in various carrier frequencies, processing these signals to generate signature sequences, combining them in the time domain to produce carrier-dependent channel information, and using this information to define a model that includes the apparatus's position, with optimization methods to determine the accurate position by matching the model to the channel information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference signals are received and processed in multiple carrier frequencies to generate signature sequences and combine them in time domain, then position determination accuracy is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments the position determination process into distinct stages: receiving reference signals in multiple carrier frequencies, processing each frequency to generate signature sequences, combining sequences in time domain, and determining position parameters. This segmentation allows systematic handling of complex multi-frequency signals while maintaining accuracy.
Solution Approach 2:
The patent transitions from frequency-domain analysis to time-domain combination by generating signature sequences for each carrier frequency and then combining them in the time domain. This dimensional change enables exploitation of both frequency diversity and time-domain channel characteristics, improving position accuracy while providing a structured approach to manage processing complexity.
2Measurement precision
If carrier-dependent channel information is generated by combining receive and transmit sequences in time domain, then position determination precision is enhanced, but loss of time for signal processing increases
Solution Approach 1:
The patent performs preliminary processing of reference signals to generate signature sequences for each carrier frequency before combining them in time domain. This preliminary action prepares the data in an optimized format, enabling efficient subsequent processing and reducing overall computation time while maintaining high precision.
Solution Approach 2:
The patent maintains continuous processing flow by generating signature sequences continuously for each carrier frequency and immediately combining them in time domain to produce carrier-dependent channel information. This continuous action minimizes idle time and ensures efficient utilization of processing resources throughout the signal chain.
Data Source
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AI summary
The present subject matter relates to a method comprising: receiving by an apparatus (203) reference signals (s1(f3), s2(f1), s2(f4), s3(f2)) from at least one node (201.1, 201.2, 201.3), the reference signals being received in multiple carrier frequencies, processing the reference signals for obtaining per carrier frequency a signature sequence, herein referred to as receive sequence; generating per received reference signal a corresponding signature sequence, herein referred to as transmit sequence; combining the receive sequences with the transmit sequences in time domain to produce carrier-dependent channel information; determining at least one parameter of a model such that the model matches the correlation sequences; wherein the model represents the channel information, the parameter comprising a position of the apparatus; and providing the determined position of the apparatus.