MIMO Antenna ECC Measurement Using TRP and TPMI
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Solution Overview
Problem
Conventional methods for measuring the envelope correlation coefficient (ECC) of MIMO antennas are inefficient and inaccurate due to the need for passive measurement of devices under test, which differs from their active transmission state.
Innovation Solution
A method involving a controller that measures over-the-air total radiated power (TRP) associated with transmit precoding matrix indicator (TPMI) indices for single-layer transmissions and calculates the ECC between two antennas, using a base station simulator and a test system to perform these measurements in a state closer to active transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional passive measurement methods are used to measure ECC, then the measurement process is simple, but the measurement accuracy deteriorates because the DUT is in a different operating state compared to active transmission
Solution Approach 1:
The measurement system dynamically configures the DUT to operate in different transmission modes (single-antenna and two-antenna simultaneous transmission) based on TPMI indices, allowing the system to adapt between passive and active measurement states. This dynamic operation enables accurate ECC measurement while maintaining a relatively simple measurement framework.
Solution Approach 2:
The system changes operational parameters by configuring different TPMI indices that control precoding matrices, transitioning the DUT between single-antenna and two-antenna transmission modes. This parameter change allows the system to obtain TRP values under different conditions and calculate accurate ECC values without requiring complex passive measurement setups.
2Measurement precision
If active transmission measurement is used to improve ECC measurement accuracy, then measurement accuracy improves, but measurement efficiency deteriorates due to multiple configurations and measurements required
Solution Approach 1:
The system measures TRP values for multiple TPMI indices (including both single-antenna and two-antenna configurations), performing more measurements than the minimum single ECC value would require. This excessive action provides redundant data that improves accuracy through multiple data points while the automated processing maintains efficiency.
Solution Approach 2:
The measurement process continuously collects TRP data across different TPMI configurations in a systematic sequence, maintaining continuous useful action throughout the measurement process. The controller automatically processes each measurement and accumulates data, eliminating idle time and maintaining measurement momentum throughout the test sequence.
3Measurement precision
If multiple TPMI indices are measured to calculate accurate ECC, then ECC calculation accuracy improves, but measurement time increases due to multiple TRP measurements required
Solution Approach 1:
The system performs preliminary measurements of TRP values for multiple TPMI indices before calculating the final ECC value. By collecting all necessary TRP data in advance through systematic measurement of different precoding configurations, the system prepares complete datasets that enable accurate ECC calculation in a single processing step, reducing total measurement time.
Data Source
AI summary
Examples pertaining to measuring the correlation between multiple-input multiple-output (MIMO) antennas in mobile communications are described. A controller measures an over-the-air (OTA) total radiated power (TRP) associated with each of a plurality of transmit precoding matrix indicator (TPMI) indices configured for a communication apparatus to perform single-layer transmissions to obtain a plurality of TRP values each associated with a TPMI index. Each TPMI index indicates a precoding matrix for a single-layer transmission. The controller calculates an envelope correlation coefficient (ECC) between two antennas of the communication apparatus according to the TRP values.