Communication Channel BER Estimation Using Noise Statistics
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Solution Overview
Problem
Current methods for estimating bit error rate (BER) in communication systems require extensive time periods, especially for low BER requirements, and often fail to account for non-idealities in communication systems, leading to inaccuracies.
Innovation Solution
A method that determines BER by generating statistical representations for deterministic and non-deterministic noise sources, using simulations and parameter estimation to combine these representations and estimate BER, thereby reducing the time required for measurements and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bit-by-bit simulations are performed to measure BER, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent creates a statistical model (copy) of the communication channel that replicates the essential noise characteristics and transmission properties. Instead of performing actual bit-by-bit simulations, the system uses this statistical model to compute BER, achieving the same measurement precision much faster by working with probabilistic representations rather than exhaustive simulations.
Solution Approach 2:
The patent transforms the problem from direct BER measurement to parameter estimation. By changing the approach from simulating individual bits to estimating statistical parameters (mean and variance of noise sources), the system achieves rapid BER computation while maintaining precision through the statistical relationships between these parameters and BER performance.
2Loss of time
If statistical approaches using PDFs are used to estimate BER, then loss of time is reduced, but measurement precision deteriorates due to unaccounted non-idealities
Solution Approach 1:
The patent segments the total noise into distinct deterministic and non-deterministic components, modeling each separately with appropriate statistical representations. This segmentation allows the system to capture the specific characteristics of each noise source while maintaining computational efficiency, thereby improving BER estimation accuracy without the time costs of exhaustive simulations.
3Device complexity
If simple statistical models are used, then device complexity is reduced, but measurement precision of BER estimation deteriorates
Solution Approach 1:
The patent employs parametric statistical models where complex noise characteristics are represented through a small set of parameters (mean and variance). By changing the representation from detailed time-domain simulations to parametric models, the system achieves accurate BER estimation with reduced computational complexity, as these parameters can be estimated from limited simulation data and then used for rapid BER computation.
Data Source
AI summary
A method to determine bit error rate (BER) for a given channel of a communication system includes determining a first statistical representation of at least one deterministic source of noise for the given channel. A parametric statistical representation having parameters that model non-deterministic noise is defined for the given channel and values for the parameters of the parametric statistical representation are estimated to provide a second statistical representation for the non-deterministic noise based on at least one of measurements and simulations performed for the given channel. The BER of the given channel is estimated as a function of the first and second statistical representations.