Double-stream beamforming without eigen-decomposition
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Solution Overview
Problem
Existing dual-stream beamforming methods are complex and inefficient due to the need for eigen-value decomposition, which can result in poorly determined eigen-vectors when uplink pilots are transmitted by user equipment over the same antenna, leading to suboptimal performance in channel estimation and beamforming.
Innovation Solution
The method determines Direction Of Arrival (DOA) angles and generates two sets of coefficients from array response vectors to perform beamforming without eigen-value decomposition, reducing complexity by allocating parameters according to the number of transmit antennas and using these coefficients to perform beamforming directly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If eigen-value decomposition is used to determine beamforming coefficients, then beamforming can be performed, but the computational complexity increases and eigen-vectors may be poorly determined
Solution Approach 1:
The patent extracts the essential directional information (DOA angles) from the channel matrix without performing complete eigen-value decomposition. By taking out only the necessary angular parameters and using them to construct array response vectors, the method avoids the computational burden and reliability issues of full eigen-decomposition while retaining the core beamforming functionality.
Solution Approach 2:
Instead of computing eigen-vectors directly from the channel matrix, the patent creates a simplified copy or representation of the directional information through array response vectors constructed from DOA angles. These vectors serve as substitutes for the complex eigen-vectors, providing the necessary beamforming weights with much lower computational complexity.
2Productivity
If traditional eigen-value based beamforming is used, then dual-stream beamforming can be achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The patent segments the beamforming process into distinct stages: first determining DOA angles from the channel matrix, then constructing array response vectors from these angles, and finally forming beam coefficients. This segmentation allows each step to be performed independently and efficiently, avoiding the monolithic complexity of traditional eigen-value decomposition and improving overall processing speed.
Data Source
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AI summary
Disclosed are a double-stream beamforming method and device, which relate to communication technology. The method comprises: first, according to a DOA angle, determining an array response vector; then according to the array response vector, in accordance with the number of each group of transmission antennae of a base station, distributing parameters to generate two groups of coefficients, and according to the two groups of coefficients, conducting beamforming on the antennae. There is no need to conduct characteristic value decomposition to obtain a characteristic vector, thereby reducing the double-stream beamforming complexity.