Signal Measurement Correction for Non-Anechoic Environments
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Solution Overview
Problem
Existing signal measurement methods are prone to distortion due to external interference in non-anechoic environments, affecting the dual-track balance effect.
Innovation Solution
A correction system and method that divides transmitted and received signals into groups based on time length, selects groups with high correlation and energy stability, and maintains the periodic change characteristic of the transmitted signal to eliminate interference, using a processing device with modules for signal division, screening, and energy determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If signal measurement is performed in a non-anechoic environment, then the system can be used anywhere without environmental limitations, but external sounds interfere with measurement results causing distortion
Solution Approach 1:
The received signal is divided into multiple signal groups based on time length, and each group is evaluated independently for correlation and energy characteristics. This segmentation allows the system to identify and select clean signal portions while rejecting those contaminated by external interference, thus maintaining measurement accuracy in non-anechoic environments.
Solution Approach 2:
The system calculates correlation values and energy levels for each signal group, uses this feedback information to evaluate signal quality, and selects only the to-be-evaluated groups that meet quality thresholds. This feedback mechanism enables automatic adaptation to environmental conditions and rejection of interfered signals.
2Device complexity
If all received signal groups are used for energy determination, then processing is simplified, but signal energy accuracy is reduced due to interference from external sounds
Solution Approach 1:
Before determining the final signal energy, the system performs preliminary evaluation of each signal group by calculating correlation values and energy levels. Groups that do not meet quality criteria are filtered out in advance, ensuring that only clean signals contribute to the final energy determination, thus improving accuracy without excessive complexity.
Solution Approach 2:
Instead of using all received signal groups, the system selectively processes only the to-be-evaluated groups that pass quality thresholds. This partial processing approach reduces the impact of interfered signals while maintaining sufficient data for accurate energy determination.
Data Source
AI summary
A correction system and a correction method of signal measurement are provided. In the method, a transmitted signal and a received signal are divided into a plurality of transmitted signal groups and a plurality of received signal groups according to a time length, respectively. The received signal is related to a signal received after the transmitted signal is transmitted, and the transmitted signal is a periodic signal. A plurality of to-be-evaluated groups are selected from the received signal groups according to a correlation between the transmitted signal groups and the received signal groups. The correlation corresponds to a delay between the transmitted signal and the received signal. The signal energy of the received signal is determined according to the signal energy of the to-be-evaluated groups. Accordingly, the accuracy of signal measurement can be improved.