Accuracy of Computer Simulations that use Common Pseudo-random Number Generators
| dc.contributor.author | Dusitsin, Krid | |
| dc.contributor.author | Kosbar, Kurt | |
| dc.date.accessioned | 2016-05-12T22:53:37Z | en |
| dc.date.available | 2016-05-12T22:53:37Z | en |
| dc.date.issued | 1998-10 | en |
| dc.identifier.issn | 0884-5123 | en |
| dc.identifier.issn | 0074-9079 | en |
| dc.identifier.uri | http://hdl.handle.net/10150/609238 | en |
| dc.description | International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California | en_US |
| dc.description.abstract | In computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data sources. These generators are often assumed to be close to ideal (i.e. delta correlated), and an insignificant source of error in the simulation results. The samples generated by these algorithms have non-ideal autocorrelation functions, which may cause a non-uniform distribution in the data or noise signals. This error may cause the simulation bit-error-rate (BER) to be artificially high or low. In this paper, the problem is described through the use of confidence intervals. Tests are performed on several pseudo-random generators to access which ones are acceptable for computer simulation. | |
| dc.description.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © International Foundation for Telemetering | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.subject | BER estimation | en |
| dc.subject | Pseudo-random number generator | en |
| dc.subject | Confidence Interval | en |
| dc.title | Accuracy of Computer Simulations that use Common Pseudo-random Number Generators | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | University of Missouri – Rolla | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | en |
| refterms.dateFOA | 2018-06-18T18:09:56Z | |
| html.description.abstract | In computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data sources. These generators are often assumed to be close to ideal (i.e. delta correlated), and an insignificant source of error in the simulation results. The samples generated by these algorithms have non-ideal autocorrelation functions, which may cause a non-uniform distribution in the data or noise signals. This error may cause the simulation bit-error-rate (BER) to be artificially high or low. In this paper, the problem is described through the use of confidence intervals. Tests are performed on several pseudo-random generators to access which ones are acceptable for computer simulation. |
