Phase Interpolation Time Signal Processor for Fast Accurate Quantization
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Solution Overview
Problem
Current time signal processing circuits face limitations in conversion speed, accuracy, and power consumption, particularly in achieving high quantization accuracy due to fixed time delays and sensitivity to power supply voltage and temperature changes.
Innovation Solution
A time signal processor based on a multiplying phase interpolation circuit, comprising a time signal processing circuit, a calibration circuit, and a digital logic circuit, which uses successive approximation time signal processing sub-circuits and multiplicative interpolation modules to improve quantization accuracy and conversion speed, with a pipeline operation system and calibration mechanisms to enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed time delay is used in delay chain structure, then device complexity is reduced, but manufacturing precision (quantization accuracy) deteriorates
Solution Approach 1:
The delay chain is segmented into multiple buffer stages (e.g., 8 buffers for 8-bit quantization), where each buffer provides a fixed time delay step. This segmentation allows the system to achieve higher quantization accuracy by selecting appropriate delay steps while keeping each individual buffer simple in structure.
Solution Approach 2:
The patent introduces dynamically controllable delay elements that can adjust their delay time based on control signals. This dynamic adjustment capability allows the system to optimize quantization accuracy for different operating conditions while maintaining relatively simple buffer structures.
2Manufacturing precision
If vernier structure with two transmission paths is used, then manufacturing precision (quantization accuracy) is improved, but device complexity increases
Solution Approach 1:
The patent merges the delay chain structure with the vernier structure, combining the advantages of both approaches. The delay chain provides coarse quantization with simple buffers, while the vernier structure adds fine quantization capability. This merging reduces the overall complexity compared to a pure vernier structure while achieving high quantization accuracy.
Solution Approach 2:
The vernier structure is nested within the delay chain framework, where the fine quantization mechanism is embedded in the coarser delay structure. This nesting allows the system to achieve high-resolution quantization without duplicating the entire delay chain, thereby reducing device complexity.
3Manufacturing precision
If more buffers are added to improve quantization accuracy, then manufacturing precision is improved, but use of energy increases
Solution Approach 1:
The patent implements partial buffering by only buffering signals that require delay, rather than buffering all signals throughout the entire processing pipeline. This selective buffering approach reduces the total number of buffer stages that need to operate simultaneously, thereby lowering power consumption while maintaining quantization accuracy.
Solution Approach 2:
The system uses periodic clocking and reset signals to control buffer operations, allowing buffers to be activated and deactivated in a periodic manner. This periodic operation reduces the average power consumption compared to continuous operation of all buffer stages, while still achieving the required quantization accuracy when buffers are active.
4Productivity
If conversion speed is increased, then productivity is improved, but measurement precision (quantization accuracy) deteriorates
Solution Approach 1:
The patent performs preliminary coarse quantization using the delay chain with fixed time delays before proceeding to fine quantization. This preliminary action allows the system to quickly establish a baseline measurement, and then refine it with additional processing, thereby achieving high conversion speed without sacrificing final quantization accuracy.
Solution Approach 2:
The system dynamically adjusts the quantization process based on the input signal characteristics and timing requirements. When conversion speed is prioritized, the system can use coarser quantization steps, and when accuracy is prioritized, it can employ finer quantization steps. This dynamic adaptation allows the system to optimize the trade-off between conversion speed and quantization accuracy in real-time.
Data Source
AI summary
A time signal processor based on multiplying phase interpolation circuit is provided. The time signal processor includes a time signal processing circuit, a calibration circuit and a digital logic circuit, and realizes a time input signal-digital output signal conversion process. The time signal processing circuit quantizes an input time signal to obtain a series of digital code output; feedback compensation is carried out on the time signal processing circuit through the calibration circuit; and finally, the digital logic circuit completes final digital output.


