An optimization study of self-adaptive target parameter scan technology for terminal-sensitive submunition

Abstract

A model is proposed in this paper to study the influential power of steady-state scam parameters of terminalsensitive submunition on the target. Then simulation is performed by using non-linear programming under Matlab. The steady-state scan parameters of terminal-sensitive submunition are constant and the scan law is fixed. As a result of this, there may be the problem of missed scan or even failure to recognize the target. This study proposes a self-adaptive adjustment method based on target velocity and length. A relational model is built between the scan parameters and scan target of the terminal-sensitive submunition. The initial scan angle and steady-state scan angle are determined under Matlab. Simulation results show that the proposed self-adaptive adjustment method can rapidly adjust the scan angle, increase the scanning efficiency and timely recognize the target. Our study provides theoretical support and reference data for the design of terminal-sensitive submunition.