Variable Aperture Sampling Matrix for Signal Adaptability
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Solution Overview
Problem
Existing equivalent-time sampling systems lack flexibility in sampling intervals and durations, limiting their ability to adapt to various applications such as linear feedforward equalization and waveform reconstruction.
Innovation Solution
A signal sampling system with a matrix of samplers, each controlled by separate strobes with adjustable timing characteristics, allowing for varying sampling intervals and durations, and a signal processor for scaled summation of sample output signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If uniformly spaced sampling with identical sampling durations is used, then the system structure is simple and easy to implement, but the system lacks flexibility in adapting to different applications such as linear feedforward equalization and waveform reconstruction
Solution Approach 1:
The sampling system is divided into multiple independent samplers, each with its own controllable sampling aperture duration. This segmentation allows each sampler to be independently configured for different sampling durations, providing flexibility for various applications while maintaining a modular and manageable system structure.
Solution Approach 2:
The sampling aperture duration of each sampler is made dynamically adjustable rather than fixed. This allows the system to adapt sampling parameters in real-time based on different application requirements, such as using longer apertures for equalization and shorter apertures for waveform reconstruction, without requiring a complete system redesign.
2Adaptability or versatility
If identical sampling durations are used for all samplers, then the timing control is simple, but the system cannot optimize sampling for different applications
Solution Approach 1:
Each sampler is assigned a specific sampling aperture duration optimized for its particular function. For example, samplers used for equalization can have longer aperture durations to capture more signal energy, while samplers for waveform reconstruction can use shorter durations. This local optimization allows each part of the system to operate at peak efficiency for its specific purpose.
Solution Approach 2:
The system changes the sampling aperture duration parameter for different samplers based on application requirements. By adjusting this critical parameter, the system can optimize performance for linear feedforward equalization, channel response shaping, filtering, or waveform reconstruction without changing the fundamental system architecture.
3Measurement precision
If sampling apertures of different durations are used, then optimal sampling can be achieved for different applications, but the timing control becomes more complex
Solution Approach 1:
The timing control system dynamically adjusts sampling aperture durations based on the specific application being performed. This dynamic control allows the system to achieve optimal sampling precision for each application - whether that requires long apertures for precise equalization measurements or short apertures for accurate waveform capture - while the complexity is managed through automated control logic.
Data Source
AI summary
A signal sampling system includes an input signal and a plurality of samplers. The plurality of samplers produces a plurality of sample output signals. Each sampler from the plurality of samplers samples the input signal to produce a corresponding sample output signal from the plurality of sample output signals. Each sampler samples the input signal with a sampling pulse having a sampling aperture. A first sampling aperture used by a first sampler from the plurality of samplers to sample the input signal differs in duration from a second sampling aperture used by a second sampler from the plurality of samplers to sample the input signal.