Modeling of situation assessment in regional air defense combat

Abstract

The purpose of situation assessment in regional air defense combat is to quickly fuse data as well as to provide commanders with timely support for decision making. We propose a new framework for situation assessment in regional air defense combat, which plays a very concrete role in real combat and follows the combat process. The proposed framework involves three aspects: assessment of the air defense capability of a region; the prediction of an enemy’s invasion route; and the generation of an interception plan. A Bayesian network is used to evaluate and infer the air defense capability of a region. In the network, the calculation of input evidence is based on threat models from radar, the terrain, and anti-aircraft firepower. The weak areas for air defense can be observed when the evaluation is completed. Accordingly, the possible flight path of an enemy invader can be predicted via particle swarm optimization. We build an interception model based on existing attack modes for intercepting enemy aircraft to provide pre-planning for interception. The experimental results prove the feasibility and effectiveness of the proposed method. In particular, the proposed method can contribute to quick decision making in regional air defense combat.