Radio Receiver Equalization Using Scaled Channel Weighting
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Solution Overview
Problem
Existing equalizers, such as zero forcing and frequency domain equalizers, face challenges in radio receivers due to high computational complexity and noise amplification issues, particularly in ASIC implementations, which affect the reliability of data transfer in bandwidth-increasing telecommunication signals.
Innovation Solution
A method that calculates filter coefficients using a zero forcing algorithm and modifies the frequency spectrum of received information symbols with a scaled amplitude representation of the radio channel impulse response, reducing the need for divisions and minimizing computational resources, thereby improving equalization performance and reducing silicon area consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a zero forcing equalizer is used to eliminate inter-symbol interference, then inter-symbol interference is reduced, but noise amplification occurs at spectral nulls
Solution Approach 1:
The patent modifies the equalization approach by changing the parameter being optimized from complete inter-symbol interference elimination to a balanced approach that limits noise amplification. The filter coefficients are designed to provide sufficient equalization performance while avoiding infinite gain at spectral nulls, thus controlling noise amplification.
2Reliability
If frequency domain equalizers are used to compensate frequency attenuations, then equalization performance is improved, but computational complexity increases
Solution Approach 1:
The patent segments the equalization process into two distinct parts: (1) frequency domain weighting to compensate for frequency selectivity, and (2) time domain filtering with a zero forcing filter. This segmentation allows each part to handle specific aspects of equalization, reducing overall computational complexity compared to full frequency domain equalization.
Solution Approach 2:
The patent introduces an intermediary approach by combining frequency domain weighting with time domain filtering. The frequency domain weighting acts as a pre-processing step that compensates for frequency selectivity, while the time domain filter provides the actual equalization, thus mediating between the two approaches to reduce computational load.
3Reliability
If frequency domain equalization is used to compensate for frequency selectivity, then equalization performance is improved, but silicon area consumption increases in ASIC implementations
Solution Approach 1:
The patent segments the equalization functionality into frequency domain weighting (for frequency selectivity compensation) and time domain filtering (for actual equalization). This segmentation allows the computationally intensive frequency domain operations to be minimized, reducing the silicon area required for ASIC implementation while maintaining equalization performance.
Data Source
AI summary
A solution for equalization in a radio receiver is provided. According to the provided solution, equalization with a zero forcing equalization algorithm is improved with frequency domain processing of received information symbols. The frequency spectrum of received information symbols is modified with a calculated frequency domain representation of the radio channel impulse response. Thereafter, the information symbols having the modified frequency spectrum are filtered with a zero forcing filter having the filter coefficients calculated through a zero forcing algorithm.