Channel Estimation Using Space Correlation Matrices
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Solution Overview
Problem
In multiple-antenna wireless communication systems, the signal-to-noise ratio (SNR) decreases, leading to inaccurate channel estimation due to the existing methods' inability to effectively account for space correlation between antennas.
Innovation Solution
A method that determines a channel space related matrix for each channel using signals from multiple antennas, followed by calculating a channel fading factor filter matrix using KL transform or MMSE criterion, to improve channel estimation accuracy by filtering channel fading factors based on space correlation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple-antenna technology is used, then the receiver can process multiple channels, but the signal-to-noise ratio decreases leading to inaccurate channel estimation
Solution Approach 1:
The patent segments the channel estimation process by determining space correlation matrices for each channel separately based on received signals from multiple antennas. Each channel's space correlation is calculated independently using the formula Rl=rl·rlH, where rl represents the signal received by N antennas on the lth channel. This segmentation allows the system to maintain accurate channel estimation for each individual channel while processing multiple channels simultaneously.
Solution Approach 2:
The patent changes the parameter representation by transforming channel fading factors into space correlation matrices that capture the spatial relationships between antennas. By using KL transform or MMSE criterion to determine filter matrices from these correlation matrices, the system adapts the estimation parameters to account for spatial correlation, thereby improving accuracy in multi-channel environments where SNR is reduced.
2Device complexity
If conventional single-antenna noise reduction is used, then the processing is simple, but it cannot effectively improve channel estimation accuracy in multiple-antenna systems
Solution Approach 1:
The patent transitions from single-antenna processing to multi-dimensional space correlation processing by introducing the dimension of spatial relationships between multiple antennas. The channel space related matrix Rl captures correlations across N antennas, adding a spatial dimension to the estimation process. This dimensional expansion enables the system to exploit spatial diversity and correlation information that conventional single-antenna methods cannot access, thereby improving accuracy without excessive complexity.
Data Source
AI summary
Embodiments of the present invention provide a channel estimation method and a receiver. The method includes: determining a channel space related matrix of each channel according to first signals received by N antennas of a receiver on each channel of M channels, where the channel space related matrix of each channel is used to indicate space correlation between the N antennas on each channel, wherein N is a positive integer greater than 1, and M is a positive integer; determining a channel fading factor filter matrix according to the channel space related matrices of the M channels, where the channel fading factor filter matrix is an N×N-dimensional matrix; and determining channel estimation of a first channel according to the channel fading factor filter matrix and channel fading factors corresponding to the N antennas when the N antennas receive first signals on the first channel.