Digital generation of random environments

The simulation and testing of adaptive control processes requires a simulation of the noise and signal environment in which the process is to take place. This environment is typically specified by a number of statistical parameters. In order to simulate the input to a system which has a bandwidth of several MHz, random events with controlled statistical properties must be generated at intervals on the order of 100 nanoseconds. This paper presents some preliminary results of studies being performed to evaluate the statistical characteristics of multi-bit random numbers generated by maximal sequence length shift registers and used to produce noise environments in signal simulation.