Communications System Toolbox
The design and simulation of a communications system requires analyzing its response to the noise and interference inherent in real-world environments, studying its behavior using graphical and quantitative means, and determining whether the resulting performance meets standards of acceptability.
Communications System Toolbox implements a variety of tasks for communications system design and simulation. Many of the functions, apps, System objects™, and blocks in the system toolbox perform computations associated with a particular component of a communications system, such as a demodulator or equalizer.
The system toolbox offers several standard methods for quantitatively characterizing system performance:
Because BER computations are fundamental to the characterization of any communications system, the system toolbox provides the following tools and capabilities for configuring BER test scenarios and accelerating BER simulations:
Bit Error Rate Analysis App — An app that lets you analyze BER performance of communications systems.
Error Rate Test Console — A MATLAB object that runs simulations for communications systems to measure error rate performance. It supports user-specified test points and generation of parametric performance plots and surfaces. Accelerated performance can be realized when running on a multicore computing platform.
Distributed computing and cloud computing support — Capabilities provided by Parallel Computing Toolbox and MATLAB Distributed Computing Server™ that enable you to leverage the computing power of your server farms and the Amazon EC2 Web service.
The system toolbox provides the following capabilities for visualizing system performance:
Channel visualization tool — For visualizing the characteristics of a fading channel
Eye diagrams and signal constellation scatter plots — For a qualitative, visual understanding of system behavior that enables you to make initial design decisions
Signal trajectory plots — For a continuous picture of the signal's trajectory between decision points
BER plots — For visualizing quantitative BER performance of a design candidate, parameterized by metrics such as SNR and fixed-point word size