SIMULATION: Transactions of The Society for Modeling and Simulation International

Kenefic, Richard J.

doi: 10.1177/003754978604600303pmid: N/A

A range-doppler spread target model is modified to obtain a clut ter model by including the effect of beam and range gate shape. This clutter modeling is then applied in a simulation of an FMCW radar sensor that uses an adaptive moving target indicator (AMTI) and a monopulse antenna to detect slow-moving ground targets. The ability of the AMTI to discriminate a slow-moving point target from ground clutter is shown via simulation.

Schwertman, Neil C.

doi: 10.1177/003754978604600304pmid: N/A

Transformations of multivariate data to ranks for each multivariate response is used in certain multivariate analyses such as in the Multivariate Multisample Rank Sum and Median tests.Rank transformations of simulated multivariate data with a com mon mean vector are shown to be functions of correlation struc ture only.

McLeod, John

doi: 10.1177/003754978604600305pmid: N/A

The use of computers to model things, both real and imaginary, and the use of those models as surrogates for investigative and experimental purposes, constitute the art and science of simulation.Since its inception in the late nineteen forties simulation has undergone some interesting evolutionary changes. Paced by the development of rapidly improving computing and allied equip ment, the technology and methodology of simulation have faced — and to varying degrees learned to cope with - changing chal lenges as the ever-widening fields of application have multiplied.Hard limits are not in sight. However, vestiges of some original problems remain while others have been solved as simulation progresses from an art toward becoming a science.

doi: 10.1177/003754978604600306pmid: N/A

McLeod, John; McLeod, Suzette

doi: 10.1177/003754978604600307pmid: N/A