Synchronization Signal Detection via Differential Cross-Correlation
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Solution Overview
Problem
Current mobile communications protocols, such as 4G-LTE, face challenges in detecting synchronization signals due to low signal-to-noise ratios and fading environments, which require computationally expensive and time-consuming processes, draining battery life and requiring significant storage, affecting the form factor and battery life of user equipment.
Innovation Solution
A method and system for detecting synchronization signals that involve receiving and processing signals to obtain differential signals and cross-correlation signals, selecting candidate differential synchronization signals based on these correlations, and using a frequency offset value to detect the synchronization signal, thereby reducing computational complexity and improving signal sensitivity in low SNR environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional synchronization signal detection methods are used, then detection capability in low SNR environments is maintained, but computational complexity increases and battery life decreases
Solution Approach 1:
The patent segments the synchronization signal detection process into distinct phases: obtaining differential signals from received signals, computing cross-correlation signals between differential signals and candidate sequences, and selecting signals based on correlation thresholds. This segmentation allows each phase to be optimized independently, reducing overall computational complexity and energy consumption while maintaining detection reliability in low SNR environments.
Solution Approach 2:
The patent performs preliminary processing by computing differential signals before cross-correlation operations. By pre-processing the received signals to extract differential components, the system reduces the complexity of subsequent correlation computations, thereby lowering energy consumption while preserving the ability to detect synchronization signals under challenging channel conditions.
2Reliability
If conventional synchronization signal detection methods are used, then detection capability is maintained, but computational complexity and processing time increase
Solution Approach 1:
The detection process is divided into manageable segments: differential signal extraction, cross-correlation computation with candidate sequences, and threshold-based selection. This segmentation simplifies the overall computational complexity by breaking down the complex detection task into simpler, more efficient operations that can be executed with reduced computational resources.
Solution Approach 2:
The patent replaces conventional direct correlation methods with a differential-based approach. By substituting the traditional synchronization detection mechanism with differential signal processing followed by cross-correlation, the system achieves lower computational complexity while maintaining or improving detection performance in fading and low SNR environments.
3Reliability
If conventional synchronization signal detection methods are used, then detection capability is maintained, but intermediate storage requirements increase
Solution Approach 1:
The patent extracts only the essential differential components from the received signals, discarding redundant information. By taking out only the necessary differential signals and comparing them directly with candidate synchronization sequences, the system minimizes intermediate storage requirements while maintaining detection capability, thereby reducing memory usage and affecting form factor.
Data Source
AI summary
Systems and methods are provided for detecting a received synchronization signal. The method includes receiving, at a receiver, a signal from a transmitter, where one or more portions of the received signal include the received synchronization signal. The method includes processing the one or more portions of the received signal to obtain a differential signal, and processing the differential signal and a plurality of candidate differential synchronization signals to obtain a plurality of cross-correlation signals. Each candidate differential synchronization signal is associated with one cross-correlation signal. The method includes selecting, based at least in part on the plurality of cross-correlation signals, one of the candidate differential synchronization signals, and detecting the received synchronization signal based at least in part on (i) the one or more portions of the received signal, and (ii) a frequency offset value obtained from the cross-correlation signal associated with the selected candidate differential synchronization signal.