FSS Detection Threshold Adaptation for LTE MIMO Antenna Ports
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional FSS detection methods in LTE MIMO systems suffer from significant errors and increased noise due to abnormal power conditions, particularly in outdoor tests where low power from certain transmitting antennas affects Signal-to-Noise Ratio (SNR), leading to interference and reduced detection accuracy.
Innovation Solution
A system and method that automatically selects a transmitting port with high SNR as the reference for FSS search thresholds, using a peak search module to identify CIR peaks, generate an FSS search threshold, and apply it to detect the FFT windowing position, thereby reducing complexity and improving exception protection during FSS detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional threshold search method is used for FSS detection, then detection coverage is maintained, but detection accuracy deteriorates under abnormal power conditions
Solution Approach 1:
The patent dynamically changes the threshold parameter based on the detected peak power level. When power abnormality is detected (low SNR conditions), the system adjusts the threshold accordingly rather than using a fixed threshold, thereby maintaining detection accuracy across varying power conditions
Solution Approach 2:
The patent introduces an intermediary mechanism that detects peak power levels and uses this information to adjust the detection threshold. This intermediary layer allows the system to adapt to abnormal power conditions by mediating between the fixed hardware threshold and the variable signal conditions
2Device complexity
If minimum selection combining method is used across all antenna ports, then system simplicity is maintained, but noise increases due to inclusion of abnormal antenna ports
Solution Approach 1:
The patent applies local quality by treating different antenna ports differently based on their individual signal quality. Instead of uniformly combining all antenna ports, the system identifies and excludes abnormal ports (those with low SNR or power abnormalities) from the combining process, thereby reducing noise while maintaining system simplicity
Solution Approach 2:
The patent segments the antenna ports into normal and abnormal categories based on power level detection. This segmentation allows the combining module to selectively process only normal ports, separating the harmful noise from useful signals while keeping the overall system structure simple
3Ease of manufacture
If fixed threshold is used for FSS detection, then implementation simplicity is maintained, but detection performance deteriorates under low SNR conditions
Solution Approach 1:
The patent transitions from a static fixed threshold to a dynamic threshold that adapts to changing signal conditions. The threshold is adjusted based on real-time peak power detection, allowing the system to maintain high detection precision under varying SNR conditions while adding minimal complexity through automated detection algorithms
Data Source
Figure 1~2
Figure 3
Figure 4~5
AI summary
A method and system for detecting FSS by a peak threshold, and a receiver include: a peak search module configured to perform peak search on a set of inputted CIR average values to obtain a set of CIR peaks; a threshold generation module configured to search for a maximum value from the obtained set of CIR peaks, obtain an FSS search threshold according to the maximum value and a preset threshold, and provide the FSS search threshold to an FSS detection module; and the FSS detection module configured to utilize the FSS search threshold to detect an FFT windowing position of a receiving antenna. The technical solutions according to the disclosure improve the protection capability from exceptions for FSS detection while reducing the detection complexity of FSS.