Zero Intermediate Frequency Receiver Calibration via Sub-Band Segmentation
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Solution Overview
Problem
Zero intermediate frequency radio receivers face challenges in achieving high-precision calibration due to image leakage, which affects signal quality, and existing methods are inefficient in determining calibration parameters.
Innovation Solution
A method involving obtaining sub-band training signals, determining sub-band calibration parameters, and performing coefficient fitting to derive a fullband calibration parameter, which reduces aliasing and improves calibration speed and precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fullband training signal is used for calibration, then the calibration speed is improved, but aliasing between image signal and training signal increases, reducing precision
Solution Approach 1:
The patent divides the fullband training signal into multiple sub-band training signals with different frequency ranges. Each sub-band signal is used to determine corresponding sub-band calibration parameters separately, avoiding aliasing while maintaining efficient calibration. The sub-band parameters are then combined to form the complete calibration parameter set.
2Measurement precision
If sub-band training signals are used to reduce aliasing, then calibration precision is improved, but the calibration process becomes more complex
Solution Approach 1:
The patent merges the calibration processes of multiple sub-bands by determining calibration parameters for each sub-band and then combining these parameters to form the complete calibration parameter set. This approach maintains high precision while managing complexity through systematic integration of sub-band results.
Solution Approach 2:
The patent changes the frequency domain parameters by dividing the full bandwidth into multiple sub-bands with different frequency ranges. This parameter transformation allows calibration to be performed in a segmented frequency domain, reducing aliasing effects while maintaining a structured approach to complexity management.
3Adaptability or versatility
If sub-band training signals with different bandwidths are used, then flexibility in signal design is improved, but computation complexity increases
Solution Approach 1:
The patent applies local quality by assigning different bandwidth characteristics to different sub-band training signals based on their specific frequency ranges and calibration requirements. Each sub-band can be optimized independently for its local characteristics, improving overall system adaptability while managing computation through localized optimization rather than global complexity.
Data Source
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AI summary
Embodiments of the present invention provide a method for determining a calibration parameter of a zero intermediate frequency radio receiver, and a zero intermediate frequency radio receiver. The method includes: obtaining a plurality of sub-band training signals, where a sum of the plurality of sub-band training signals is a fullband training signal; determining a sub-band calibration parameter corresponding to each of the plurality of sub-band training signals; determining a fullband calibration signal according to the plurality of sub-band training signals and the sub-band calibration parameter corresponding to each of the plurality of sub-band training signals; and performing coefficient fitting on the fullband training signal and the fullband calibration signal, to determine a fullband calibration parameter. Because sub-band calibration parameters are obtained according to a plurality of different sub-band training signals, aliasing between an image signal and a training signal can be reduced. Therefore, a speed and precision of determining a calibration parameter can be improved.