Baseband Multi-Tone Standing Wave Detection in Base Stations
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Solution Overview
Problem
Existing standing wave detection methods in wireless communication technologies require additional hardware circuits, leading to complex and costly setups, and are prone to errors due to signal leakage from couplers, which affects detection precision.
Innovation Solution
A standing wave detection method using a baseband multi-tone signal as a transmission signal, collecting feedback signals, and employing stored calibration data to calibrate and obtain reflected signals, thereby eliminating errors and improving precision without the need for additional hardware or complex calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional FDR or PDFDR methods are used for standing wave detection, then detection functionality is achieved, but additional hardware circuits (coupler, load, frequency mixer, operation amplifier, ADC) are required, leading to complicated link and high cost
Solution Approach 1:
The patent extracts the standing wave detection function from the traditional hardware-based FDR/PDFDR system and implements it through software signal processing. By using the existing feedback path and baseband multi-tone signals, the invention eliminates the need for additional hardware circuits (coupler, load, frequency mixer, operation amplifier, ADC) while maintaining detection reliability through computational methods.
Solution Approach 2:
The patent replaces the mechanical/hardware-based detection system with a software-based signal processing system. Instead of using physical hardware circuits to detect standing waves, the invention uses digital signal processing techniques (correlation analysis, fast Fourier transform) to extract standing wave information from feedback signals, thereby reducing hardware complexity.
2Reliability
If additional hardware circuits are added for standing wave detection, then detection capability is improved, but cost increases
Solution Approach 1:
The invention extracts the detection capability from expensive hardware circuits and implements it through software processing of existing signals. By utilizing the feedback path and baseband multi-tone signals that are already present in the system, the patent achieves detection functionality without adding costly hardware components.
Solution Approach 2:
The patent replaces expensive, complex hardware circuits with inexpensive software algorithms that can be implemented through computation. The detection function is achieved through mathematical processing (correlation, FFT) rather than physical hardware, significantly reducing manufacturing cost.
3Measurement precision
If coupler is used in traditional standing wave detection, then signal reflection is detected, but signal leakage from coupler enters feedback signal causing detection errors
Solution Approach 1:
The patent extracts the reflected signal information directly from the feedback path without relying on coupler-based detection. By using baseband multi-tone signals and performing correlation analysis between transmitted and feedback signals, the invention eliminates the coupler component that causes signal leakage, thereby removing the source of detection errors.
Solution Approach 2:
The patent introduces baseband multi-tone signals as an intermediary to transfer information about signal reflections. Instead of using a coupler to detect reflections, the system uses modulated baseband signals that pass through the feedback path, allowing accurate extraction of reflection information without the harmful signal leakage associated with traditional coupler methods.
4Measurement precision
If traditional standing wave detection methods are used, then fault location and standing wave ratio measurement are achieved, but real-time synchronization and complex calculations are required
Solution Approach 1:
The patent performs preliminary actions by pre-modulating the signals with baseband multi-tone signals and pre-processing the feedback signals through correlation analysis. This preliminary processing eliminates the need for real-time synchronization during actual fault detection, as the system uses pre-computed correlation values and fast Fourier transform to quickly identify faults.
Solution Approach 2:
The patent uses periodic baseband multi-tone signals for transmission and processing. By employing periodic signals with known frequency characteristics, the system can achieve accurate fault location through correlation analysis without requiring real-time synchronization, as the periodic nature of the signals provides inherent timing references that simplify the detection process.
Data Source
AI summary
A standing wave detection method, a standing wave detection apparatus, and a base station are disclosed. The method includes collecting, a feedback signal from a feedback path of a base station which uses a baseband multi-tone signal as a transmission signal; performing calibration on the feedback signal by using stored calibration data to obtain a reflected signal in the feedback signal; and obtaining a standing wave detection value according to the transmission signal and the reflected signal that is in the feedback signal.