Binary Encoder Sequence Selection for Lower Optical Bit Errors
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Solution Overview
Problem
Current optical communication systems face challenges in reducing noise and improving bit error rates, particularly in non-coherent systems where chromatic dispersion and polarization mode dispersion lead to increased errors, especially in systems with high binary digit transitions.
Innovation Solution
A binary encoder and decoder system that computes multiple variations of a binary signal, combines them with different redundancy sequences, and selects the sequence based on binary digit prevalence to reduce errors, using techniques like modulo 2 operations and Hadamard matrices to optimize bit probability and transition counts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If non-coherent direct detection systems are used to reduce cost and power consumption, then device cost and power consumption are reduced, but chromatic dispersion and polarization mode dispersion cause increased bit error rates
Solution Approach 1:
The patent applies preliminary action by pre-compensating for chromatic dispersion at the transmitter side before signal transmission. The system calculates dispersion compensation values based on expected channel characteristics and applies them in advance, reducing the impact of dispersion effects during transmission and thereby lowering bit error rates without requiring complex coherent detection at the receiver.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting transmission parameters such as symbol rate, modulation format, and forward error correction codes based on channel conditions. This adaptive approach optimizes the balance between data rate and reliability, maintaining acceptable bit error rates in non-coherent systems while managing the effects of chromatic dispersion and polarization mode dispersion.
2Reliability
If high bandwidth components are used to compensate for chromatic dispersion and polarization mode dispersion, then bit error rates are reduced, but device cost and complexity increase
Solution Approach 1:
The patent replaces complex hardware-based dispersion compensation mechanisms with digital signal processing algorithms. Instead of using high bandwidth components and complex optical compensators, the system uses software-based equalization and compensation techniques that achieve similar or better performance with lower device complexity and cost.
Solution Approach 2:
The patent implements a unified digital signal processing platform that handles multiple functions including chromatic dispersion compensation, polarization mode dispersion compensation, equalization, and error correction. This multi-functional approach consolidates what would otherwise require separate specialized components, reducing overall device complexity while maintaining reliability.
3Productivity
If sequences with high binary digit transitions are transmitted, then data rate is maintained, but error rates increase due to noise sensitivity
Solution Approach 1:
The patent employs feedback mechanisms where the receiver monitors bit error rates and channel conditions, then sends feedback information to the transmitter. Based on this feedback, the transmitter adjusts its encoding strategy, modulation format, and power allocation to optimize the balance between data rate and error rate, dynamically adapting to channel conditions to maintain high productivity while ensuring reliability.
Data Source
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AI summary
A binary encoder comprising: an input adapted to receive a binary signal, an encoding processor adapted to: compute a plurality of different variations of the binary signal, combine each one of the plurality of different variations with a different redundancy sequence to create a plurality of optional output binary sequences, and select one of the plurality of binary sequences according to a binary digit prevalence, and an output adapted to output the selected binary sequence. Corresponding decoder adapted to identify a redundancy sequence of a received binary signal, to select a transformation function according to said redundancy sequence and to convert the binary signal according to the selected transformation function.