Weighted Receiver Equalization for In-Band Error and Interference
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately equalizing received radio signals, particularly with close frequency spacing and the use of subcarriers, which are sensitive to noise and require effective rejection of unwanted signals, while also needing to optimize out-of-band performance and manage computational demands in modern receivers.
Innovation Solution
A method and apparatus that iteratively construct an equalizer using a processor to apply weighting to measured and known signals, refining the equalization process until performance criteria are met, leveraging available processing power to compute attenuation and optimize out-of-band rejection, employing techniques like orthogonal frequency division multiplexing and least mean squared equalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional equalization techniques (e.g., least mean square) are used to limit integrated vector error over signal bandwidth, then in-band error is reduced, but out-of-band attenuation performance deteriorates
Solution Approach 1:
The patent applies different weighting factors to different frequency regions within the equalization process. By assigning higher weights to in-band frequencies and lower weights to out-of-band frequencies, the equalizer optimizes performance locally for each frequency region rather than treating all frequencies uniformly, thus resolving the contradiction between in-band error reduction and out-of-band attenuation.
2Measurement precision
If advanced equalization algorithms are implemented to improve signal accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent transforms the equalization problem from optimizing a large number of individual frequency coefficients to optimizing a smaller set of weighting parameters that control different frequency regions. This parameter reduction simplifies the computational complexity while maintaining signal accuracy through the use of weighted error minimization across frequency bands.
3Measurement precision
If more processing power is used to compute equalization weights, then signal processing accuracy improves, but power consumption increases
Solution Approach 1:
By changing from optimizing many individual frequency coefficients to optimizing fewer regional weighting parameters, the computational burden is significantly reduced. This parameter consolidation allows portable receivers to achieve good equalization accuracy with lower processing power and reduced power consumption.
4Measurement precision
If equalization focuses on minimizing integrated vector error over bandwidth, then in-band performance improves, but subcarrier-specific performance deteriorates
Solution Approach 1:
The patent applies higher weighting factors to frequency regions containing subcarriers, ensuring that subcarrier-specific errors are minimized with the same or greater emphasis as in-band errors. This localized quality enhancement ensures that subcarrier orthogonality and information integrity are preserved while maintaining overall in-band performance.
Data Source
AI summary
Systems and techniques for equalization of a response of a receiver. In one embodiment, a response of a device to a known signal is measured to generate a measured signal. A processor is operated to apply an initial weighting to the measured signal and the known signal. The processor is operated to iteratively perform the operations of constructing an equalizer based on the weighted signals, testing the performance of the equalizer on the measured signal, and adjusting weighting applied to the measured signal and the known signal, until the performance of the equalizer on the measured signal meets a predetermined criterion.