Simulated Data Channel Parameter Estimation for FEC Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Testing new forward error correction (FEC) encoders/decoders in real communication systems is inconvenient due to the need for a separate channel and varying environments, making it difficult to accurately simulate and estimate data channel parameters, especially in static and dynamic situations.
Innovation Solution
A method and system for simulating a data channel using a model with real noise levels to determine the size of the parity field, employing a Gilbert model with burst error states set to zero, and using statistical parameter estimation algorithms like Maximum Likelihood Estimation (MLE) and Expectation-Maximization (EM) to estimate channel parameters, allowing for improved FEC encoder/decoder efficiency and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real data channels are used for testing new FEC encoders/decoders, then testing accuracy is improved, but device complexity and operational convenience deteriorate due to the need for separate channels and allocation of special time slots
Solution Approach 1:
The patent creates a simulated data channel that copies the essential noise characteristics and error patterns of real data channels. Instead of using actual communication channels for testing, the system generates synthetic channel models with configurable noise levels, burst error probabilities, and packet loss patterns that replicate real-world conditions, thereby eliminating the need for separate physical test channels while maintaining testing accuracy
Solution Approach 2:
The patent enables dynamic adjustment of channel parameters such as noise level, burst error probability, and packet loss rate in the simulated channel model. This allows testers to configure the simulation to match various real-world scenarios without changing physical channel conditions, providing flexibility in testing different FEC encoder/decoder configurations under controlled parameter variations
2Measurement precision
If real data channels are used for testing in various environments, then measurement accuracy is improved, but ease of operation deteriorates due to the difficulty of performing experiments under varying conditions
Solution Approach 1:
The patent designs a universal simulated channel model that can replicate multiple different real-world channel conditions through parameter configuration. A single simulation system can model various environments (e.g., wireless fading channels, noisy wired channels, satellite communication channels) by adjusting parameters such as noise variance, error correlation coefficients, and packet loss patterns, eliminating the need for physical experiments in multiple actual environments
Solution Approach 2:
The patent pre-configures simulated channel models with realistic noise characteristics and error patterns based on historical data or theoretical models before actual testing begins. This preliminary setup allows testers to immediately conduct experiments under controlled conditions that already embody the complexities of various real-world environments, without needing to physically establish or travel to different testing locations
3Productivity
If accurate channel parameter estimation is performed, then FEC encoder/decoder efficiency is improved, but computational complexity increases due to the use of statistical parameter estimation algorithms
Solution Approach 1:
The patent implements a two-stage parameter estimation approach: first, quick initial estimates are obtained using simplified methods to establish baseline channel characteristics; then, more accurate but computationally intensive algorithms are applied only to refine specific critical parameters. This partial application of complex algorithms reduces overall computational burden while maintaining sufficient accuracy for FEC optimization
Solution Approach 2:
The patent performs channel parameter estimation using simulated data before actual FEC encoding/decoding operations begin. By pre-characterizing the channel parameters (noise level, error patterns, burst probabilities) through simulation, the system avoids the need for complex real-time parameter estimation during actual data transmission, thereby reducing computational complexity during critical FEC operations while still achieving accurate parameter values
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method and a system for estimating a parameter in a communication system are provided. The method includes estimating a parameter of a data channel model in a communication system, decoding a packet received through a determined noise channel to convert the packet into data indicating one of a success and failure of a reception of the packet, configuring a prototype channel having at least one unknown parameter, estimating the at least one unknown parameter using the data indicating the one of the success and the failure of the reception of the packet, and determining the size of a parity field of a forward error correction (FEC) symbol, using the estimated at least one unknown parameter.