Non-Uniform Sampling for Burst Signals With Lower Processing Power
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Solution Overview
Problem
Existing digital signal processing techniques face challenges in accurately representing burst-type analog signals with large bandwidth harmonics, leading to increased cost and power consumption due to the need for high sampling rates and complex signal processing, while also risking aliasing and distortion if sampling rates are insufficient.
Innovation Solution
A novel non-uniform sampling technique is employed, where the analog signal is digitized at a high sampling rate and only the most significant samples are selected for further processing, reducing redundant samples and thus lowering cost and power consumption, using derivatives of consecutive samples to determine which samples can be eliminated without losing signal fidelity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high sampling rate is used to maintain signal integrity and harmonics, then measurement precision is improved, but use of energy and device complexity increase
Solution Approach 1:
The patent applies partial action by sampling the signal at a high rate initially to capture all harmonics and signal information, then selectively discarding redundant samples in subsequent processing stages. This allows the system to benefit from high-rate sampling where needed while avoiding the continuous energy cost of processing all high-rate samples through the entire system.
Solution Approach 2:
The patent segments the sampling and processing operation into distinct stages: initial high-rate sampling to capture complete signal information, followed by selective sample discarding based on signal characteristics. This segmentation allows different processing rates to be applied to different portions of the signal stream, optimizing the balance between signal integrity and power consumption.
2Measurement precision
If high sampling rate is used to maintain signal integrity, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses partial action by performing complete high-rate sampling initially, then applying selective discarding of redundant samples. This reduces the complexity of subsequent processing stages by eliminating unnecessary samples while preserving signal integrity where it matters most.
Solution Approach 2:
The processing pipeline is segmented into stages with different complexity levels. The initial sampling stage operates at full rate to ensure no signal information is lost, while subsequent stages operate at reduced complexity by processing only the essential samples, thereby reducing overall device complexity.
3Use of energy by moving object
If lower sampling rate is used to reduce cost and power consumption, then use of energy is reduced, but measurement precision deteriorates due to aliasing
Solution Approach 1:
The patent applies preliminary action by performing initial high-rate sampling to capture the complete signal spectrum and all harmonics before any sample discarding occurs. This preliminary capture ensures that no signal information is permanently lost, even though subsequent processing uses lower effective sampling rates.
Solution Approach 2:
The system performs excessive sampling initially (at high rate) to ensure all signal information is captured, then applies partial processing by discarding only the redundant samples. This approach maintains signal fidelity while achieving energy savings in the processing stages.
4Ease of operation
If analog spectrum shifting is performed to zero Hz before digitization, then ease of operation is improved, but device complexity and power consumption increase due to additional analog circuitry
Solution Approach 1:
The patent substitutes the mechanical/analog approach of spectrum shifting circuitry with a digital signal processing approach. By sampling at sufficiently high rates and applying digital processing techniques, the system achieves spectrum manipulation without requiring complex analog frequency conversion circuitry, thereby reducing device complexity and power consumption.
Data Source
AI summary
A novel non-uniform sampling technique for a burst type signal. The analog signal is digitized with high sampling rate to maintain harmonics at higher frequencies and consequently the integrity of the analog signal. Then by using non-uniform sampling technique the most significant samples are selected for further processing which results in overall cost and power consumption reduction.