Adaptive Data Path Range Control for Quantization and Saturation
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Solution Overview
Problem
Existing data paths in storage devices face challenges in optimizing dynamic amplitude ranges, leading to suboptimal signal processing and potential degradation due to quantization and saturation, which affects the accuracy of bit pattern recovery and channel performance.
Innovation Solution
The implementation of a circuit with a summing node and adaptation circuits that adjust filter coefficients and signal gain to dynamically optimize the amplitude range of signals, ensuring they align with the input range of analog-to-digital converters and other components, thereby avoiding quantization and saturation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the dynamic amplitude range of signals is not optimized, then the data path can process signals, but quantization and saturation errors occur degrading signal quality and channel performance
Solution Approach 1:
The patent implements dynamic range optimization by making the data path adaptable to varying signal conditions. The system automatically adjusts its operation based on the actual dynamic range of incoming signals, transitioning between different operational modes to maintain optimal signal quality without requiring fixed, over-engineered circuitry for all possible conditions.
Solution Approach 2:
The patent changes operational parameters dynamically by measuring the actual dynamic range of signals and adjusting processing accordingly. Rather than maintaining fixed parameters designed for worst-case scenarios, the system modifies its operational parameters based on real-time signal characteristics, eliminating quantization and saturation errors only when necessary.
2Ease of manufacture
If fixed amplitude ranges are used in data paths, then circuit design is simplified, but signal processing becomes suboptimal leading to quantization and saturation errors
Solution Approach 1:
The patent implements a self-adjusting system that automatically measures its own signal conditions and adjusts its operational parameters accordingly. The data path performs self-diagnosis of signal dynamic range and self-corrects by optimizing its processing parameters, eliminating the need for complex external control circuits while maintaining high reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors signal characteristics and uses this information to adjust its operational parameters. By feeding back information about actual signal dynamic range to the control logic, the system maintains optimal performance across varying conditions without requiring overly complex predetermined designs.
Data Source
AI summary
Systems and methods are disclosed for full utilization of a data path's dynamic range. In certain embodiments, an apparatus may comprise a circuit including a first filter to digitally filter and output a first signal, a second filter to digitally filter and output a second signal, a summing node, and a first adaptation circuit. The summing node combine the first signal and the second signal to generate a combined signal at a summing node output. The first adaptation circuit may be configured to receive the combined signal, and filter the first signal and the second signal to set a dynamic amplitude range of the combined signal at the summing node output by modifying a first coefficient of the first filter and a second coefficient of the second filter based on the combined signal.