RF Receiver Non-Linear Component Cancellation System
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Solution Overview
Problem
Radio frequency (RF) receivers face challenges in reducing non-linear components in signals, which can lead to distortion and interference, especially in multi-mode and multi-frequency environments, where traditional architectures struggle with linearity and power consumption.
Innovation Solution
A RF receiver system that estimates unwanted signal components and generates a cancellation signal to reduce their impact, using digital domain processing and finite impulse response filters to correct for non-linearities, allowing for integration of multiple frequency bands and modes within a single semiconductor die.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional RF receiver architecture is used, then the device structure is simple, but non-linear distortion and interference increase in multi-mode and multi-frequency environments
Solution Approach 1:
The system performs preliminary estimation of unwanted non-linear signal components before they cause significant distortion. By predicting and canceling these components in advance through digital signal processing, the system maintains signal linearity without requiring complex hardware modifications to the traditional RF architecture.
Solution Approach 2:
A digital signal processing intermediary is introduced between the RF front-end and baseband processing. This intermediary estimates unwanted components, generates cancellation signals, and combines them with the received signal, effectively mediating the non-linearity issue without fundamentally changing the traditional receiver structure.
2Adaptability or versatility
If multiple frequency bands and modes are integrated, then receiver versatility increases, but non-linear distortion and power consumption increase
Solution Approach 1:
The apparatus implements a universal non-linear component reduction mechanism that operates across multiple frequency bands and modes. The same digital signal processing architecture estimates and cancels unwanted components regardless of the specific operating mode or frequency band, providing multi-functionality without requiring separate processing paths for each mode.
Solution Approach 2:
The system uses the received signal itself to generate the cancellation signal. By estimating unwanted components directly from the input signal and using adaptive filtering to create complementary cancellation signals, the system serves its own non-linearity correction needs without requiring external calibration or additional power-intensive components.
3Reliability
If non-linear components are reduced using digital processing, then signal quality improves, but computational complexity increases
Solution Approach 1:
The system creates a digital copy or model of the unwanted non-linear components based on the received signal characteristics. By estimating the unwanted components and creating cancellation signals as copies with opposite polarity, the system achieves signal quality improvement through computationally efficient digital operations rather than complex analog processing.
Data Source
AI summary
A system is described for forming an estimate of an unwanted signal component that may be formed as a result of non-linearities in a system. The estimate is used to form a cancellation signal which is added to an input signal to reduce the influence of the unwanted component.