Design and Simulate SerDes Systems

Convert Scattering Parameter to Impulse Response for SerDes System

Find an Impulse Response by combining a Scattering-Parameter (S-Parameter) model of a baseband communication channel along with a transmitter and receiver represented by their analog characteristic impedance values. You can find an impulse response of this network using the sParameterFitter app to create an SParameterChannel object in SerDes Toolbox™. The app also uses some supporting functions from RF Toolbox™ such as rational and impulse.

Find Zeros, Poles, and Gains for CTLE from Transfer Function

Use the CTLE Fitter app to configure a CTLE block from SerDes Toolbox™ in the SerDes Designer app or in Simulink®. You can use the CTLE Fitter app to fit zeros, poles, and gains from a transfer function to create a GPZ Matrix and then export to your workspace. The CTLE Fitter app finds the GPZ Matrix by performing a fit comparison to a transfer function using the rational function from RF Toolbox™.

Select Slices of Input Data for SerDes System Blocks

Uses how to select a family of input data from multiple available input data families using the Slice Select parameter of the CTLE and Saturating Amplifier blocks in the SerDes Toolbox™. You can use a single AMI parameter to synchronize the selection of input data between the two blocks.

Globally Adapt Receiver Components Using Pulse Response Metrics to Improve SerDes Performance

Perform optimization of a set of receiver components as a system using function optPulseMetric to calculate metrics such as eye height, width and channel operating margin (COM) estimate from a pulse response at a target bit error rate (BER) to evaluate the optimal performance of a particular configuration. The adaptation is performed as statistical analysis (Init), then the optimized result is passed to time-domain (GetWave).

Globally Adapt Receiver Components in Time Domain

Perform optimization of a set of receiver components as a system during Time Domain (GetWave) Simulation. You will see how to setup a CTLE and a DFECDR Block so their settings adapt together globally during simulation. This is a follow on to the example "Globally Adapt Receiver Components Using Pulse Response Metrics to Improve SerDes Performance."

Globally Adapt Receiver Components Using Symbol Metrics

Perform optimization based on symbol metrics for receiver components during statistical (Init) simulation. You can learn how to setup a CTLE and a DFECDR block so their settings adapt together globally during the simulation. This example shows how to improve the example Globally Adapt Receiver Components Using Pulse Response Metrics to Improve SerDes Performance by leveraging various symbol metrics for compliance against different specification requirements.

Using Signal Integrity Toolbox Analog Channels in SerDes Toolbox

SerDes Toolbox™ has a variety of channel modeling options such as a loss-based channel, user provided impulse response matrix, or importing an s-parameter. To gain more channel modeling flexibility including via models, w-lines, concatenating s-parameters, and full IBIS analog model support, Signal Integrity Toolbox™ is the best choice. With access to Signal Integrity Toolbox project data from the MATLAB® command window, you can combine the best abilities for both toolboxes for ultimate flexibility.

Optimize Eye Height In SerDes System Model

Optimize performance metrics of a Simulink model using an optimization feature called msbOptimizer from the Mixed-Signal Blockset™. msbOptimizer uses a solver called surrogateopt from Global Optimization Toolbox™ for optimization. Any Simulink model can be optimized for best performance using the steps mentioned here. In this example, you will optimize eye metrics of a SerDes system. Eye metrics are an indication of the signal's quality and reliability and hence important parameters for serial communication.

(Mixed-Signal Blockset)

Surrogate Optimization and Scripting for SerDes System Design

Use surrogate optimization and MATLAB® scripting to automatically design and tune a SerDes system. To illustrate these concepts, consider the task of maximizing the area of the statistical eye of a SerDes system that consists of a feed-forward equalizer (FFE) in the transmitter (Tx) and a decision feedback equalizer (DFE) in the receiver (Rx). To achieve this goal, this example uses a surrogate-based method to optimize the tap weights of the FFE and the DFE. The workflow entails the following steps.

Model Clock Recovery Loops in SerDes Toolbox

Create detailed models of different types of serial channel clock recovery loops such as Alexander (bang-bang), Meuller-Muller, and Hogg & Chu.