Multi-Antenna Eigen-Vector Combining for Carrier Sensing
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Solution Overview
Problem
Existing wireless communication systems face limitations in carrier sensing and symbol timing performance due to the lack of coherent signal combination across multiple antennas, especially in multi-path fading environments, which affects decoding accuracy and throughput.
Innovation Solution
The implementation of multi-antenna eigen-combining (MAEC) techniques, where a MAEC vector is computed from received signals across multiple antennas to maximize signal energy, allowing for coherent combination and improved carrier sensing and symbol timing by multiplying received signals with corresponding combining coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple receive antennas are used to improve reception, then signal strength and decoding accuracy are improved, but coherent signal combination across multiple antennas is lacking in multi-path fading environments, worsening carrier sensing and symbol timing performance
Solution Approach 1:
The patent changes the parameter of signal combination by computing eigen-vectors and eigen-values from the received signal matrices across multiple antennas. This mathematical transformation enables coherent combining that adapts to multi-path fading conditions, resolving the contradiction between maintaining decoding accuracy and improving carrier sensing/symbol timing performance.
Solution Approach 2:
The patent replaces traditional mechanical or simple signal combining methods with an eigen-vector based combining approach. By substituting the conventional signal combination mechanism with eigen-decomposition mathematics, the system achieves coherent combining that properly handles multi-path effects, thereby improving measurement precision without sacrificing reliability.
2Measurement precision
If traditional signal combination methods are used in MIMO systems, then decoding accuracy is maintained, but carrier sensing and symbol timing performance deteriorate due to inability to perform coherent combination across multiple antennas
Solution Approach 1:
The patent transforms the signal combination parameters by using eigen-vector coefficients derived from the received signal matrices. This parameter change enables the system to perform coherent combination that improves carrier sensing and symbol timing performance while the eigen-decomposition process inherently maintains the signal structure needed for accurate decoding.
3Power
If multiple antennas receive signals independently, then signal diversity is achieved, but combined signal power is insufficient for optimal carrier sensing and symbol timing
Solution Approach 1:
The patent merges signals from multiple antennas through eigen-vector combining, where the combining coefficients are derived from the eigen-decomposition of the received signal matrices. This merging process maximizes the combined signal power by coherently adding the signals according to the eigen-vectors, thereby improving both the power metric and the resulting data throughput.
Data Source
AI summary
Systems and methods for carrier sensing and symbol timing in a multiple-antenna communication system are provided. A wireless receiver receives two or more signals from two or more antennas, respectively. A set of column vectors comprising time samples obtained from each of the received signals at the two or more antennas are generated. A multiple-antenna eigen-combining (MAEC) vector is computed based on the set of column vectors. The respective received signals are multiplied with a corresponding combining coefficient of the MAEC vector to obtain a respective weighted signal. A combined signal is generated by adding the respective weighted signals and carrier sensing and symbol timing is performed on the two or more received signals based on the combined signal.