MIMO Antenna Correlation Estimation Under Precoded Fading Tests
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Solution Overview
Problem
Existing methods for testing mobile phone terminals in fading environments struggle to accurately calculate transmission antenna correlation due to the influence of precoding, making it difficult to faithfully replicate actual propagation path characteristics and assess demodulation performance.
Innovation Solution
A test system and method that calculates transmission antenna correlation by analyzing reference signals subjected to precoding, using actual propagation path characteristics and channel models to accurately estimate the correlation, thereby replicating the statistical properties of the actual propagation path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If transmission antenna correlation is directly calculated from precoded reference signals, then calculation process is simplified, but measurement precision deteriorates due to precoding interference
Solution Approach 1:
The invention extracts the precoding matrix information from the received precoded reference signals through singular value decomposition. By separating the precoding component from the propagation path characteristics, the method enables accurate calculation of transmission antenna correlation without the distorting influence of precoding, thus resolving the contradiction between calculation simplicity and measurement precision.
Solution Approach 2:
The invention introduces singular value decomposition as an intermediary mathematical tool to process the precoded reference signals. This intermediary method allows the extraction of underlying propagation path characteristics hidden within the precoded signals, bridging the gap between the simplified calculation approach and accurate correlation measurement.
2Reliability
If existing Field-to-Lab method replays actual propagation path characteristics, then faithfulness to actual environment is improved, but test time becomes dependent on data collection time
Solution Approach 1:
The invention creates a statistical model copy of the actual propagation path environment using measured data. Instead of directly replaying instantaneous propagation characteristics, the method generates a channel model that reproduces the statistical properties of the actual environment, enabling independent and repeatable testing without being constrained by original data collection timing.
Solution Approach 2:
The invention transforms the raw measured propagation path data into statistical parameters that characterize the propagation environment. By changing from time-domain instantaneous values to statistical parameters, the method enables the creation of a reusable channel model that maintains environmental fidelity while decoupling test execution from data collection timing.
Data Source
AI summary
A test system includes an actual propagation path estimation characteristic calculation unit that calculates estimation characteristics of propagation path characteristics of an actual propagation path, an actual propagation path channel capacity calculation unit that calculates an actual propagation path channel capacity of the actual propagation path from the estimation characteristics, a simulation propagation path characteristic calculation unit that calculates simulation propagation path characteristics of a channel model, a simulation channel capacity calculation unit that calculates a simulation channel capacity of the channel model from the simulation propagation path characteristics, a transmission antenna correlation coefficient estimation unit that estimates a transmission antenna correlation coefficient in which a difference between the actual propagation path channel capacity and the simulation channel capacity is smaller than a specified value, and a transmission antenna correlation calculation unit that calculates a transmission antenna correlation based on the transmission antenna correlation coefficient.