Wireless Signal Detection Using Cross and Auto-Correlation
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately detecting wireless signals due to noise interference, leading to false alarms and reduced detection sensitivity, especially in environments with shared access mediums.
Innovation Solution
The implementation of a detector system that utilizes both cross-correlators and auto-correlators in parallel, combined with logical operations and adaptive threshold values, to determine the presence of a wireless signal by comparing cross-correlation and auto-correlation values, thereby enhancing detection accuracy and reducing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a cross-correlator is used to detect the wireless signal by deriving cross-correlation coefficients from a pre-defined preamble, then the detection capability is provided, but false alarms occur due to noise interference
Solution Approach 1:
The patent combines both cross-correlation detection and auto-correlation detection in a unified detection system. The cross-correlator processes the received signal against a known preamble, while the auto-correlator processes the same signal against itself with a time delay. Both detection results are merged through logical operations to make the final signal presence determination, thereby reducing false alarms caused by noise interference in either individual method
Solution Approach 2:
The system uses adaptive threshold values that are adjusted based on the detected signal environment. The threshold for cross-correlation detection and auto-correlation detection can be dynamically modified according to the noise conditions and signal characteristics, providing feedback-based optimization to improve detection accuracy and reduce false positives
2Reliability
If an auto-correlator is used to detect the wireless signal by comparing a first portion with a second delayed portion, then detection is provided, but false alarms and reduced detection sensitivity occur
Solution Approach 1:
The patent merges the outputs of both cross-correlation detection and auto-correlation detection through logical operations. The cross-correlator provides detection based on known preamble patterns with high sensitivity, while the auto-correlator provides detection based on signal self-similarity. By combining both methods, the system achieves both the sensitivity of cross-correlation and the robustness of auto-correlation, reducing false alarms while maintaining detection precision
3Measurement precision
If both cross-correlators and auto-correlators are used in parallel with logical operations, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The detection system is segmented into distinct functional modules: a cross-correlation detection unit that processes signals against known preambles, an auto-correlation detection unit that processes signals against delayed versions of themselves, and a result combination unit that merges the outputs through logical operations. This modular segmentation allows each component to be optimized independently while maintaining overall system accuracy, managing complexity through structured organization
Data Source
AI summary
Some embodiments of the invention provide devices, systems and methods of wireless signal detection. For example, an apparatus in accordance with an embodiment of the invention includes a detector to determine whether an incoming input is a wireless communication signal intended for reception, based on an operation applied to a cross-correlation value and an auto-correlation value.