Nolta Simulated Systems Software Introduction

Nolta Simulated Systems Software sells a new and novel PC Computer-Based Advanced Digital Communication System Modeler (AdvDCSM) software system tool product: AdvDCSM DCSS (Digital Communication System Simulator) T1 for use by end-users.

This Microsoft® Windows®-Based Application/Tool T1 (AdvDCSMT1DCSS) is an unique work in the "New Frontier in Intelligent Agent-Based Computer-Based Complex System Modeling and Simulation" and that it employs an Expert System architecture that supports a form of Natural Language Input.

T1 is an important system modeling and simulation tool for prototyping Convolutional Coded Signaling over impaired Single Channel or MultiChannel/MultiCarrier and Viterbi Algorithm Decoding Systems on a PC computer for the study of Reliable Digital Communication Systems.

Important Note: Many physical systems involving information transfer may be modeled or approximated after careful study by a Digital Communication System model and, thus, T1 may be applicable to simulating these systems.

The design goal of T1 is to be Easy-to-Use, Extremely Powerful and Reliable in its modeling and simulation application to the study, evaluation, design and analysis of complicated Digital Coding Communication Systems with an emphasis on Convolutional Codes and Viterbi Algorithm Decoders.

Consider the Figure 1 plot below. It displays the simulated information source bit error probability (Pb) or bit error rate (BER) performance of a set of Discrete MultiTone Modulation (DMT) MultiCarrier/MultiChannel Systems. A simple but extremely important conceptual comparison of Coded Signaling vs. UnCoded Signaling or Convolutional Coded vs. Block Coded Signaling can be made using this plot. Note that the DMT systems example was chosen because of the importance of OFDM-based or WiMAX applications in digital communication systems.

These simulation BER results for these very complex DMT Digital Communication (Comm) Systems were produced simply by T1. Consult the "AdvDCSM Important Application Examples" section on this Website for additional possible Comm system examples that T1 can handle.

Figure 1. Bit Error Probability for Coded and UnCoded DMT Signaling over
          Distorting Bandwidth-Constrained MultiCarrier/MultiChannel (MC)
          with Additive White Gaussian Noise (AWGN): 
          r = 1/6, K = 4, [63,51,60,63] Best Non-Recursive Convolutional Code 
          and Viterbi Algorithm Decoder;
          L = 3, N = 6, [3,5,6] Systematic Block Code and Likelihood Block
          Decoder;
          3-MC, {l} = [2,2,2]: Gray Coded QPSK, 4-PAM and 4-QAM,
          SNRb: Eb/N0, QPSK = Eb/N0, 4-PAM = Eb/N0, 4-QAM;
          First Order Polynomial-based Low Pass Linear Filter MC.
Now, the simulated BER performance results displayed in Figure 1 are for cases where simulated DMT Signaling occurs over a First Order Polynomial-based Low Pass Linear Filter MultiCarrier channel model.

It is important to compare these results with T1 simulated BER results for cases where simulated DMT Signaling occurs over an Ideal MultiCarrier channel model. These additional results are shown in Figure 2.

Go to Figure 2 via the following Link: