Optical Receiver Sampling Phase Selection
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Solution Overview
Problem
Optical receivers face challenges in compensating for chromatic dispersion in optical transmission systems, particularly in shorter links without dispersion compensating fibers, leading to noise, nonlinear effects, and high power requirements, and existing equalization techniques struggle to optimize sampling phases for improved performance.
Innovation Solution
A sampling phase estimator is used to determine the optimal sampling phase for an MLSE equalizer by calculating a sampling phase quality indicator (SPQI) through branch metric calculations and interpolation, adjusting the sampling phase to improve equalization performance and reduce bit error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dispersion compensating fibers (DCF) are used to correct chromatic dispersion, then signal quality is improved, but noise increases and power requirements increase
Solution Approach 1:
The patent replaces the mechanical/optical dispersion compensation system (DCF) with a digital signal processing system. The DFE equalizer performs chromatic dispersion compensation through electrical/digital processing of the received signal, eliminating the need for physical dispersion compensating fibers and their associated noise and power issues.
2Reliability
If dispersion compensating fibers (DCF) are used to correct chromatic dispersion, then signal quality is improved, but power requirements increase
Solution Approach 1:
The patent substitutes the high-power optical dispersion compensating fibers with a low-power digital signal processing approach. The DFE equalizer operates in the electrical domain using standard electronic components, dramatically reducing power consumption compared to optical DCF systems.
3Device complexity
If sampling phase is not optimized, then system complexity is reduced, but bit error rate increases
Solution Approach 1:
The DFE equalizer automatically adapts its sampling phase through self-adjustment mechanisms. The equalizer monitors the received signal quality and autonomously optimizes the sampling phase without requiring external intervention or complex additional circuitry, achieving low BER while maintaining simple system architecture.
4Manufacturing precision
If automatic gain control is used to adjust signal levels, then signal clipping is prevented, but noise is introduced
Solution Approach 1:
The patent replaces the analog automatic gain control system with a digital gain control mechanism implemented in the DFE equalizer. The digital processing adjusts signal levels after conversion, avoiding the noise introduction inherent in analog AGC circuits while maintaining precise signal level control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The proposed method enhances the performance of optical receivers by optimizing sampling phases, leading to reduced bit error rates and improved compensation for chromatic dispersion, even in severely distorted channels without the need for expensive coherent detection systems.
Implementation Method 1
a photo diode (PD) may detect the optical signal, with the output of the photo diode substantially proportional to the optical signal power
Data Source
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AI summary
Disclosed is a method of selecting a sampling phase in an optical receiver, the method includes estimating a plurality of sampling phase quality indicator (SPQI) values for a plurality of adjusted sampling phases within or more unit intervals in a received signal. The method additionally includes selecting from the plurality of SPQI values the SPQI with the highest value. Also disclosed is an equalization circuit including an equalizer to equalize a received signal, and a best sampling phase estimator (BSPE) 30 to estimate a plurality of sampling phase quality indicator (SPQI) values for a plurality of adjusted sampling phases within one or more unit intervals in said received signal. The BSPE 30 additionally selects from the plurality of SPQI values the SPQI with the highest value.