ADC Sampling Rate Adjustment for Coherent Optical Signal Integrity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-speed optical communication systems face challenges in maintaining signal integrity due to increased bandwidth and complex modulation formats, particularly in sampling and processing high-frequency data streams, where existing methods either lead to aliasing effects or require excessive processing power and size.
Innovation Solution
The implementation of analog-to-digital converters (ADCs) sampling analog data streams at a rate nominally twice or greater than the symbol rate, followed by digital filtering to output filtered streams at an effective sampling rate less than the sampling rate but greater than or equal to the symbol rate, mitigates aliasing while reducing processing demands, using digital filters to achieve this without the need for analog anti-aliasing filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ADCs sample analog data streams at a rate twice or greater than the symbol rate, then aliasing effects are mitigated, but processing power and system size increase
Solution Approach 1:
The patent applies preliminary action by performing digital filtering after ADC sampling to reduce the sampling rate before subsequent processing. The digital filter removes aliasing components introduced by the high-rate sampling, allowing the system to maintain signal integrity while reducing the burden on downstream processors. This preliminary filtering action enables efficient downsampling without losing critical signal information.
Solution Approach 2:
The patent changes the sampling rate parameter dynamically through digital filtering. After initial high-rate sampling at twice the symbol rate or greater, the system applies digital filtering to effectively reduce the sampling rate to just above the symbol rate for subsequent processing. This parameter transformation maintains the benefits of high-rate sampling while eliminating the need for all downstream components to operate at the higher rate.
2Reliability
If ADCs sample analog data streams at a rate twice or greater than the symbol rate, then aliasing effects are mitigated, but system size increases
Solution Approach 1:
The patent applies preliminary action by performing digital filtering after ADC sampling to reduce the sampling rate before subsequent processing. The digital filter removes aliasing components introduced by the high-rate sampling, allowing the system to maintain signal integrity while reducing the burden on downstream processors. This preliminary filtering action enables efficient downsampling without losing critical signal information.
Solution Approach 2:
The patent changes the sampling rate parameter dynamically through digital filtering. After initial high-rate sampling at twice the symbol rate or greater, the system applies digital filtering to effectively reduce the sampling rate to just above the symbol rate for subsequent processing. This parameter transformation maintains the benefits of high-rate sampling while eliminating the need for all downstream components to operate at the higher rate.
3Productivity
If digital filtering is applied to reduce effective sampling rate, then processing load is reduced, but aliasing effects may increase
Solution Approach 1:
The patent applies preliminary action by performing digital filtering after ADC sampling to reduce the sampling rate before subsequent processing. The digital filter removes aliasing components introduced by the high-rate sampling, allowing the system to maintain signal integrity while reducing the burden on downstream processors. This preliminary filtering action enables efficient downsampling without losing critical signal information.
Solution Approach 2:
The patent converts the harmful aliasing effects into a beneficial filtering opportunity. By intentionally sampling at a rate that introduces aliasing (twice the symbol rate or greater), the system creates predictable spectral images that can be cleanly removed by subsequent digital filtering. The aliasing components become identifiable artifacts that the digital filter can eliminate, leaving only the desired signal band.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
This disclosure describes techniques to sample electrical data streams in coherent receivers. For instance, an analog-to-digital converter (ADC) samples the received electrical data stream at a sampling rate that is nominally twice or greater than twice the symbol rate of the electrical data stream that the ADC receives. A digital filter receives the digital data stream from the ADC, and digitally filters the digital data streams to output a filtered digital electrical data stream at an effective sampling rate that is less than the sampling rate and less than twice the symbol rate, and greater than or equal to the symbol rate.