Enhancing capabilities methods of the model of reflected radio altimeter signal based on Monte Carlo statistical modeling

When designing various on-board navigation equipment to perform a qualitative analysis of the characteristics of the developed devices, there is a need to have models of signals or responses entering the developed device. Therefore, creating and improving models of such signals is an actual design task. The paper proposes ways to improve a previously developed model of a radio altimeter reflected signal, which was obtained using statistical Monte Carlo simulation. The developed method involves expanding the capabilities of the model through the use of specific customizable pseudo-random number generators, a wide range of which are offered by free mathematical extension programs. A simple pseudo-random number generator format has been proposed for the needs of this model. The disadvantages of using only a sequence of pseudorandom numbers generated by generators as weight functions without a series of Monte Carlo runs for the base signal are also shown by comparing their time domain performances.