Wireless Signal Correlation Matrix for Precise Time-Angle Estimation
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Solution Overview
Problem
Existing location identification technologies, such as those using ultra-wide band (UWB) receivers, struggle with inaccuracies in measuring the distance and angle between devices.
Innovation Solution
A communication device and method that utilize a wireless communication unit to receive signals, correlating them into a matrix format involving a bin mode matrix and an extended signal vector, allowing for precise estimation of reception time and arrival angle based on set times and angles with shorter intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional correlation calculation is used at specified time intervals, then the measurement process is simple, but the accuracy of distance and angle estimation is insufficient
Solution Approach 1:
The patent segments the correlation calculation process by dividing the time axis into multiple discrete time points and representing the correlation results as a vector of correlation values at these segmented time points. This segmentation enables more precise temporal analysis while maintaining a structured, manageable calculation framework.
Solution Approach 2:
The patent transforms the one-dimensional correlation calculation (single time point) into a multi-dimensional representation by introducing multiple time points and organizing correlation results into vectors and matrices. This dimensional expansion allows simultaneous analysis of multiple temporal characteristics, improving measurement precision without overwhelming computational complexity.
2Measurement precision
If the interval between measurement times is reduced, then the accuracy of reception time estimation is improved, but the calculation load increases
Solution Approach 1:
The patent performs preliminary organization of correlation results into structured vectors and matrices before final processing. By pre-organizing the data from multiple time points into a coherent mathematical structure, the system reduces the computational burden of subsequent analysis while maintaining high measurement precision.
Solution Approach 2:
The patent creates a mathematical model (vector and matrix representation) that copies and represents the physical correlation measurements in an abstract form. This mathematical copying allows efficient processing of multiple time points without requiring proportional increases in physical computational resources.
Data Source
AI summary
A communication device includes: a wireless communication unit configured to wirelessly receive signals from another communication device; and a control unit configured to correlate a first signal and a second signal, which is a signal corresponding to the first signal, received by the wireless communication unit at each specified time when the other communication device has transmitted a signal including a pulse as the first signal, convert a correlation calculation result that is a result of correlating the second signal and the first signal at each specified time into a format including a matrix product of a bin mode matrix that is a matrix including a plurality of elements indicating the correlation calculation result when it is assumed that a signal has been received at each of a plurality of set times and a plurality of set angles and an extended signal vector.