Adaptive Frame Synchronization Threshold for Correlation Detection
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Solution Overview
Problem
Existing frame synchronization detection in wireless networks, such as Bluetooth and Bluetooth Low Energy, relies on fixed threshold values that are not adaptive to varying data patterns, leading to inaccurate results and power inefficiency.
Innovation Solution
Implementing an adaptive threshold mechanism that adjusts based on data pattern properties to accurately detect frame synchronization, using a correlation circuit to determine a threshold value that accounts for the specific data patterns, thereby improving accuracy and power efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed threshold value is used for frame synchronization detection, then the detection process is simple and fast, but the accuracy is poor due to inability to adapt to varying data patterns
Solution Approach 1:
The patent applies the dynamics principle by transitioning from a fixed threshold to an adaptive threshold that dynamically adjusts based on data pattern properties. The threshold is no longer static but changes according to the correlation peak values and data characteristics, allowing the system to adapt to varying data patterns while maintaining detection accuracy.
Solution Approach 2:
The patent implements parameter changes by modifying the threshold parameter based on observed data pattern properties. The threshold value is adjusted according to the correlation peak values and statistical properties of the received data, enabling the system to optimize detection accuracy for different data patterns without requiring complex reconfiguration.
2Measurement precision
If an adaptive threshold mechanism is implemented to improve detection accuracy, then measurement precision improves, but power consumption increases
Solution Approach 1:
The patent applies partial action by implementing adaptive thresholding only when necessary - specifically when data patterns require improved detection accuracy. The system can operate with simpler fixed thresholds for standard patterns and switch to adaptive thresholds only when pattern variations demand higher precision, thereby reducing overall power consumption while maintaining accuracy when needed.
Solution Approach 2:
The system dynamically changes the threshold parameter based on data pattern analysis, allowing it to optimize between power consumption and detection accuracy. By adjusting the threshold adaptation level according to pattern complexity, the system reduces unnecessary computational overhead and power usage while maintaining high accuracy for challenging patterns.
3Use of energy by moving object
If a fixed threshold is used, then power consumption is lower, but the accuracy of round trip time estimation and distance estimation deteriorates
Solution Approach 1:
The patent applies dynamics by making the threshold adaptive rather than fixed, allowing it to respond to varying data pattern conditions. This dynamic adjustment improves round trip time and distance estimation accuracy by ensuring the threshold appropriately reflects current data characteristics, while the adaptive mechanism is designed to minimize unnecessary power consumption.
Solution Approach 2:
The system uses feedback from data pattern analysis to adjust the threshold value. By continuously monitoring correlation peak values and data properties, the system feeds this information back into threshold determination, creating a closed-loop system that improves estimation accuracy while managing power consumption through intelligent adaptation rather than continuous high-power operation.
Data Source
AI summary
A wireless device includes a receiver to receive a packet via one or more antennas. A frame synchronization detection circuit coupled to the receiver identifies a data pattern within a portion of the packet. A correlation circuit coupled to the frame synchronization detection circuit identifies one or more properties of the data pattern and computes one or more values of a correlation peak using a correlation method. An adaptive threshold circuit coupled to the correlation circuit determines a correlation threshold value using the one or more properties of the data pattern and the one or more values of the correlation peak.