Signal Evaluation Using Partial Frequency-Domain Coefficients
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Solution Overview
Problem
Existing methods for evaluating signals, particularly in wireless communication, face inefficiencies when data compression is applied in fronthaul links, leading to a lack of complex numbers in received signals, which complicates cross-correlation calculations.
Innovation Solution
A method is provided for efficiently evaluating signals by processing time-domain signals with a Fourier-related transform, resulting in frequency-domain signals with only one part (real or imaginary) included. This allows for cross-correlation with a reference frequency-domain signal, enabling efficient signal evaluation without the need for extensive resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is applied in fronthaul link including only one part (real or imaginary) of the frequency-domain signal, then resource usage is reduced, but cross-correlation calculation becomes more complex and resource-intensive
Solution Approach 1:
The patent pre-calculates and stores virtual channel responses during system calibration before actual operation. These pre-computed virtual channel responses are saved in memory, eliminating the need to perform complex cross-correlation calculations in real-time during signal processing, thus resolving the contradiction between reduced data transmission and simplified real-time computation
Solution Approach 2:
The patent creates virtual copies of channel responses through simulation and stores them for direct comparison. Instead of performing complex cross-correlation on compressed data, the system uses these pre-generated virtual channel response copies to determine antenna signal relationships, significantly reducing computational complexity while maintaining accuracy
2Measurement precision
If cross-correlation is performed in time domain using signal definition, then measurement accuracy is maintained, but computational resources and processing time increase significantly
Solution Approach 1:
The patent replaces the mechanical computation of time-domain cross-correlation with a lookup table approach. Pre-computed virtual channel responses are stored in memory, and the system simply retrieves and compares these stored values, substituting complex computational mechanics with simple memory access and comparison operations, thereby maintaining accuracy while dramatically improving processing efficiency
3Loss of information
If complex numbers of received signals are transformed back to time domain for cross-correlation, then complete signal information is preserved, but processing resources and time consumption increase
Solution Approach 1:
The system performs the computationally intensive transformation and cross-correlation operations in advance during system calibration, storing the results as virtual channel responses. During actual operation, only simple comparison of pre-computed values is needed, eliminating real-time processing delays while preserving complete signal information
Solution Approach 2:
The patent implements a dynamic processing approach where the system adapts its computation based on operational phase: extensive pre-computation during calibration phase, then simple lookup and comparison during operation phase. This dynamic adjustment optimizes the balance between information preservation and processing time across different system states
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The proposed method enables efficient signal evaluation by directly processing frequency-domain signals, reducing computational resources required for cross-correlation calculations, and facilitating applications such as position determination and signal combining.
Implementation Method 1
the time domain signal is processed with a Fourier-related transform with overlapping input frames to indirectly or directly provide a first frequency-domain signal being made up of frames of frequency-domain coefficients
Data Source
AI summary
A method is provided for evaluating a first time-domain signal received from a single source, wherein the time domain signal is processed with a Fourier-related transform with overlapping input frames to provide a first frequency-domain signal being made up of frames of coefficients, wherein only one part is included in the first frequency-domain signal, wherein a first part is the part, real or imaginary, that is included in the frequency-domain signal and a second part is the part, real or imaginary, that is not included in the frequency-domain signal. The method is performed by a signal evaluator. The method comprises: receiving the first frequency-domain signal; obtaining a reference frequency-domain signal; and determining a first cross-correlation between the received first frequency-domain signal and the reference frequency-domain signal by cross-correlating the received first frequency-domain signal and the reference frequency-domain signal.