PRACH Signal Processing Using Flexible DFT Parameter
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Solution Overview
Problem
The computation process for signal processing on uplink Physical Random Access Channel (PRACH) signals in 5G mobile communication is complex and demanding, failing to meet real-time performance and power consumption requirements.
Innovation Solution
A method that involves obtaining an initial PRACH signal with period information, performing target processing to obtain a signal to be processed, and then conducting a frequency domain transformation to reduce computational complexity and power consumption, specifically using Discrete Fourier Transformation (DFT) to obtain a target frequency domain signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional signal processing is used on PRACH signals, then processing accuracy is maintained, but computation complexity and power consumption increase significantly
Solution Approach 1:
The patent changes the parameter of domain transformation by introducing a flexible parameter α that allows switching between time-domain and frequency-domain processing. By adjusting this parameter, the system can adapt the computation complexity and power consumption based on specific processing requirements, resolving the contradiction between energy efficiency and computational accuracy.
Solution Approach 2:
The patent implements dynamic processing by allowing the system to adaptively switch between different processing modes (time-domain and frequency-domain) based on real-time requirements. This dynamic adjustment enables the system to optimize the balance between computation complexity and power consumption during different operational phases.
2Productivity
If conventional signal processing is used on PRACH signals, then processing accuracy is maintained, but real-time performance is compromised
Solution Approach 1:
The patent utilizes parameter changes by introducing a flexible transformation parameter that enables switching between processing modes. This allows the system to optimize computation complexity for real-time performance requirements while maintaining processing accuracy, directly addressing the contradiction between productivity and computational complexity.
Solution Approach 2:
The patent segments the signal processing into distinct stages: obtaining the initial signal, performing target processing based on period information, and conducting frequency domain transformation. This segmentation allows each stage to be optimized independently, improving overall processing speed while managing computation complexity through structured approach.
3Productivity
If frequency domain transformation is applied to the initial signal directly, then processing efficiency improves, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by first obtaining period information from the initial signal before performing the frequency domain transformation. This preliminary step enables the system to optimize the subsequent transformation process, improving processing efficiency while managing computation complexity through preparatory analysis of signal characteristics.
Solution Approach 2:
The patent introduces a flexible parameter α that controls the degree of frequency domain transformation. By adjusting this parameter, the system can optimize the balance between processing efficiency and computation complexity, allowing selective application of transforms based on specific requirements rather than applying full transformation uniformly.
Data Source
AI summary
A PRACH signal processing method, including: obtaining an initial signal, in which the initial signal has corresponding period information; obtaining a signal to be processed by performing a target processing on the initial signal based on the period information; and obtaining a target frequency domain signal by performing a frequency domain transformation on the signal to be processed.