Wireless Receiver Performance Measurement Using Anechoic Chamber and Noise Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining the wireless performance of a receiver in MIMO wireless terminals, such as bit error rate and radiation sensitivity, are inefficient and do not accurately account for noise interference from internal components like cameras and other modules, which affects the overall performance and throughput.
Innovation Solution
A method and apparatus that utilize an anechoic chamber with multiple measurement antennas to determine the channel transfer matrix, adjust transmitted signals based on measured signals, and calculate bit error rate and radiation sensitivity, while also accounting for noise interference by activating and deactivating interference sources to measure sensitivity degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to determine wireless performance of receiver, then the measurement process is simple, but the measurement precision is low and does not account for noise interference from internal components
Solution Approach 1:
The patent segments the measurement process into distinct phases: first measuring the channel transfer matrix using multiple measurement antennas in an anechoic chamber, then separately measuring noise interference by activating and deactivating internal components like cameras. This segmentation allows each aspect (channel characteristics and noise interference) to be measured and analyzed independently, improving overall measurement precision while keeping the complexity manageable through systematic breakdown.
Solution Approach 2:
The patent introduces an anechoic chamber as an intermediary environment to isolate the wireless terminal from external electromagnetic interference during measurement. This controlled environment serves as a mediator that enables accurate measurement of the channel transfer matrix and noise characteristics without contamination from external sources, thereby improving measurement precision.
2Measurement precision
If noise interference from internal components is accounted for, then the measurement precision improves, but the measurement time increases
Solution Approach 1:
The patent performs preliminary measurement of the channel transfer matrix in an anechoic chamber before conducting noise interference measurements. By pre-characterizing the channel conditions and storing the transfer matrix, the system avoids repeated time-consuming measurements during subsequent noise analysis phases, thus reducing overall measurement time while maintaining precision.
Solution Approach 2:
The measurement process uses periodic activation and deactivation of internal components (such as cameras) to isolate and measure their noise interference characteristics. This periodic action allows the system to efficiently identify noise sources by comparing measurements taken with components active versus inactive, reducing the time required to characterize noise interference from all internal components.
3Measurement precision
If multiple measurement antennas are used to determine channel transfer matrix, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent employs multiple measurement antennas that serve multiple functions: they measure the channel transfer matrix, characterize noise interference, and enable determination of radiation sensitivity. By making these antennas multi-functional, the system achieves high measurement precision across multiple parameters without proportionally increasing device complexity, as the same hardware infrastructure supports multiple measurement objectives.
Solution Approach 2:
The system uses feedback from the multiple measurement antennas to iteratively refine the channel transfer matrix estimation and noise interference characterization. The measured signals are fed back into the processing system to adjust and improve the accuracy of performance metrics, enabling high precision measurement while managing complexity through intelligent signal processing rather than hardware proliferation.
4Reliability
If bit error rate measurement is performed with noise interference, then the measurement reflects real-world conditions, but the reliability of individual component assessment decreases
Solution Approach 1:
The patent segments the reliability assessment into two distinct measurements: one that includes noise interference (reflecting real-world conditions) and another that isolates individual noise sources by selectively activating components. This segmentation allows the system to maintain high reliability in overall performance assessment while also achieving precision in identifying specific noise-contributing components, resolving the apparent contradiction between comprehensive and component-specific measurement.
Data Source
AI summary
Disclosed are a method and apparatus for measuring wireless performance of a receiver of a wireless terminal, and a non-transitory computer readable storage medium. The method includes the following. A measured signal of a receiver to be measured is determined. Measured signals of other receivers except the receiver to be measured are zero. Multiple transmitted signals are determined based on the measured signals. The multiple transmitted signals are transmitted through multiple measurement antennas. When a bit error rate of the receiver to be measured does not equal a preset bit error rate, the measured signal is adjusted, determining the multiple transmitted signals based on the updated measured signal. When the bit error rate equals the preset error rate, a power of the measured signal is determined as the radiant sensitivity of the receiver to be measured.