RF Receiver IQ Mismatch Compensation Using Residual Estimation
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Solution Overview
Problem
Radio frequency receivers experience IQ mismatch due to non-ideal downconversion, leading to system performance degradation caused by component variations and aging, which existing technologies fail to effectively address in real-time without interrupting system operations.
Innovation Solution
A receiver system with a physical layer module, function module, residual module, and IQ mismatch module that estimates and compensates for IQ mismatch by determining residual mismatch and generating a compensation coefficient to minimize IQ mismatch in the downconverted signal, allowing for continuous operation and accounting for temperature and component aging effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time IQ mismatch compensation is implemented, then system performance is improved, but system complexity increases due to additional processing modules
Solution Approach 1:
The patent implements a feedback mechanism where the receiver continuously monitors IQ mismatch parameters and dynamically adjusts compensation coefficients. The processor estimates IQ mismatch from received signals and applies real-time compensation, creating a closed-loop system that adapts to changing conditions without requiring manual intervention or system redesign.
Solution Approach 2:
The receiver system performs self-diagnosis and self-correction by automatically estimating its own IQ mismatch parameters and applying compensation without external assistance. The system uses its received signals to identify its own impairments and corrects them through internal processing, reducing the need for external calibration equipment or manual adjustment.
2Measurement precision
If IQ mismatch compensation is performed continuously, then signal quality is maintained, but processing time and computational load increase
Solution Approach 1:
The patent implements periodic estimation and compensation cycles where IQ mismatch parameters are estimated at intervals rather than continuously. The system processes compensation in discrete stages, allowing it to maintain signal quality while reducing instantaneous computational burden and enabling time-multiplexed operation with other receiver functions.
Solution Approach 2:
The system applies compensation based on estimated parameters without requiring perfect or exhaustive processing. By using approximate IQ mismatch estimates derived from received signals rather than perfect measurements, the system achieves sufficient signal quality improvement without the excessive processing time that would be required for complete characterization and correction.
Data Source
AI summary
A receiver including a physical layer module, a function module, a residual module, an IQ mismatch module, and a compensation module. The physical layer module is configured to (i) receive a signal, and (ii) downconvert the signal to generate a downconverted signal, wherein the downconverted signal has IQ mismatch. The function module is configured to determine (i) a first value based on a first function and a resultant signal, and (ii) a second value based on a second function. The residual module is configured to estimate a residual IQ mismatch based on the first value and the second value. The IQ mismatch module is configured to estimate an IQ mismatch coefficient based on the estimate of the residual IQ mismatch. The compensation module is configured to compensate for the IQ mismatch of the downconverted signal including generating the resultant signal based on the estimate of the IQ mismatch.