Phase Correlator for Wireless Receiver Using Phase-Quantized Signals
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Solution Overview
Problem
Conventional receivers require excess hardware and consume significant power due to the need for energy normalization during correlation processes in wireless communication systems, such as WLANs and CDMA systems, which is not necessary when only the structure of the received signal is of interest.
Innovation Solution
A receiver design that performs correlations using phase-quantized samples with equal magnitude components, eliminating the need for energy normalization by utilizing a phase correlator with phase quantization to discard magnitude information, thereby reducing hardware requirements and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If energy normalization is performed during correlation processes, then correlation accuracy is improved, but hardware complexity and power consumption increase
Solution Approach 1:
The patent extracts and discards the magnitude component of the received signal, retaining only the phase information for correlation processing. By removing the magnitude component through phase quantization, the system eliminates the need for energy normalization circuitry while maintaining correlation accuracy for structure detection.
Solution Approach 2:
The patent changes the representation of the signal from full complex values to phase-quantized values with equal magnitude components. This parameter transformation allows the correlation to be performed without energy normalization, reducing hardware requirements while preserving the structural information needed for detection.
2Measurement precision
If energy normalization is performed during correlation processes, then correlation accuracy is improved, but power consumption increases
Solution Approach 1:
The patent extracts and discards the magnitude component of the received signal, retaining only the phase information for correlation processing. By removing the magnitude component through phase quantization, the system eliminates the need for energy normalization circuitry while maintaining correlation accuracy for structure detection.
Solution Approach 2:
The patent changes the representation of the signal from full complex values to phase-quantized values with equal magnitude components. This parameter transformation allows the correlation to be performed without energy normalization, reducing hardware requirements while preserving the structural information needed for detection.
3Device complexity
If phase quantization is applied to discard magnitude information, then hardware requirements are reduced, but signal information is lost
Solution Approach 1:
The patent extracts and discards the magnitude component of the received signal, retaining only the phase information for correlation processing. By removing the magnitude component through phase quantization, the system eliminates the need for energy normalization circuitry while maintaining correlation accuracy for structure detection.
Solution Approach 2:
The patent changes the representation of the signal from full complex values to phase-quantized values with equal magnitude components. This parameter transformation allows the correlation to be performed without energy normalization, reducing hardware requirements while preserving the structural information needed for detection.
Data Source
AI summary
Embodiments of a correlator, a receiver, and a method for performing correlations are generally described herein. Other embodiments may be described and claimed. In some embodiments, input samples are phase-quantized into phase-quantized samples of substantially equal magnitude with approximately the original phase. The phase-quantized samples of substantially equal magnitude with approximately the original phase are correlated with a reference signal.