Microwave Signal Processing for Stable Phase Noise Suppression
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Solution Overview
Problem
Microwave communication systems face challenges in effectively suppressing phase noise due to the narrow bandwidth of phase-locked loops, which limits their phase noise suppression capability.
Innovation Solution
A signal processing method and device that perform equalization, phase estimation, phase rotation, and iterative filter coefficient updates to enhance phase noise suppression, even with a narrow phase-locked loop bandwidth, by using a phase estimator and signal rotator to offset estimated phase noise before inputting signals into the phase-locked loop.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the bandwidth of the phase-locked loop is set to be large, then the phase noise suppression capability is improved, but the phase-locked loop becomes divergent
Solution Approach 1:
The phase noise suppression function is divided into two independent modules: a phase estimator that tracks phase noise and a phase compensator that corrects it. This segmentation allows the phase estimator to operate with high bandwidth for accurate tracking without causing divergence in the overall system, as the compensator applies corrections in a controlled manner.
Solution Approach 2:
The phase estimator acts as an intermediary between the phase-locked loop and the phase compensator. It processes the phase noise information and provides corrected phase estimates to the compensator, enabling the system to achieve high suppression capability while maintaining stability through the mediating role of the estimator.
2Stability of the object's composition
If the bandwidth of the phase-locked loop is set to be narrow, then the phase-locked loop stability is maintained, but the phase noise suppression capability is limited
Solution Approach 1:
By separating the phase noise suppression into estimation and compensation stages, the system can use a narrow bandwidth phase-locked loop for stability while the phase estimator module provides enhanced suppression capability through high-bandwidth phase tracking and compensation.
Solution Approach 2:
The system changes the operational parameters of different modules: the phase estimator operates with high bandwidth parameters for accurate phase noise tracking, while the phase compensator operates with narrow bandwidth parameters for stable compensation, allowing each module to optimize its performance without compromising the other.
3Device complexity
If conventional phase noise suppression architecture is used, then the system structure is simple, but the phase noise suppression capability is insufficient
Solution Approach 1:
The system is segmented into distinct functional modules: equalizer, phase estimator, phase compensator, and combiner. This modular structure, while slightly more complex than conventional designs, enables superior phase noise suppression capability by allowing each module to be optimized for its specific function.
Solution Approach 2:
The phase estimator module serves multiple functions: it tracks phase noise, generates phase compensation signals, and works across different bandwidth conditions. This multi-functionality enhances phase noise suppression capability while maintaining reasonable system complexity through a versatile core component.
Data Source
AI summary
A method and a device which are for signal processing and are applied to a microwave communication system are disclosed. The method includes: performing equalization processing on each input signal by using an equalizer so as to obtain an equalized signal corresponding to the each input signal; performing phase estimation on phase noise in the equalized signal to obtain an estimated phase of the phase noise; performing phase rotation on the equalized signal to offset the estimated phase of the phase noise, so as to obtain a phase rotation signal; suppressing residual phase noise in the phase rotation signal by using a phase-locked loop so as to output an error signal and a received signal; and performing an iterative update on a filter coefficient of the equalizer by using the error signal.