Reference Signal Reception Delay Estimation in Multipath
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In communication systems, estimating the reception delay time of a reference signal is challenging, especially in multipath environments where obstacles cause signal multipath and delay spread, making it difficult to calculate the linear path delay between a transmitter and a receiver.
Innovation Solution
A method that involves a user equipment (UE) receiving a reference signal, setting multiple summation time intervals, acquiring snapshot vectors, calculating a covariance matrix, and estimating the reception delay time based on this matrix, utilizing continuous subcarrier signals and Vandermonde matrices to simplify calculations and increase the number of snapshot vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to calculate reception delay time, then the calculation is simple in line-of-sight conditions, but the accuracy deteriorates in multipath environments with obstacles
Solution Approach 1:
The patent introduces snapshot vectors as an intermediary representation that captures signal characteristics across multiple time intervals. These vectors serve as a bridge between the raw received signal and the final delay time estimation, enabling accurate measurement in multipath environments through covariance matrix analysis without requiring complex signal processing
Solution Approach 2:
The patent changes the parameter representation from direct time-domain signal analysis to frequency-domain covariance matrix analysis. By transforming the problem into the frequency domain and analyzing spectral covariance characteristics, the method achieves robust delay estimation in multipath conditions while maintaining computational feasibility through efficient matrix operations
2Measurement precision
If more snapshot vectors are acquired to improve estimation accuracy, then the reception delay time estimation becomes more accurate, but the computational resources increase
Solution Approach 1:
The patent extracts only the essential covariance information from the snapshot vectors that is relevant to delay time estimation. By focusing computation on the covariance matrix rather than processing all raw signal data, the method achieves accurate estimation with reduced computational energy consumption, extracting only the necessary statistical characteristics
Data Source
AI summary
Disclosed is a method of estimating, by a user equipment, a reception delay time of a reference signal, the method including receiving a reference signal from a base station; setting a plurality of summation time intervals within a time interval in which the reference signal is received, and acquiring a plurality of snapshot vectors corresponding to the plurality of summation time intervals; calculating a covariance matrix based on the plurality of snapshot vectors; and estimating a reception delay time of the reference signal based on the covariance matrix.