함정용 다기능 레이다의 임무 스케줄링 기법 연구

Abstract

AESA radar allows us to perform a number of missions because of fast steering. However resources available to the radar are limited such as time, energy and processing power. Therefore, all the tasks can’t perform. To solve this problem, we use a radar resource management algorithms that are adaptive scheduling based on the TSBF scheduler and non-adaptive scheduling such as SPT, EDD, MDD, WMDD, and ATC. In the adaptive scheduling technique, we developed an algorithm that determines the optimal tracking period based on the cumulative detection probability. Operator establishes cumulative detection probability then scheduler maintains real detection probability by adjusting tracking period. In the non-adaptive scheduling technique, ATC has the shortest frame time and total weighted tardiness. As a result, we choose ATC for best technique among the candidates. This result means that survival probability of a warship is increased by using ATC in a naval combat environment.