Research on air combat engagement zone based on differential feedback golden section search algorithm

An accurate and fast method for calculating the engagement zone of close-range air combat plays a crucial auxiliary role in maneuver decision-making and situational assessment. The existing methods using neural network fitting have poor portability for objects with different flight characteristics, and have high requirements for parameters. Therefore, this article improves on the traditional golden section method. Firstly, a target infrared detectable zone model is established to achieve detection estimation. Secondly, a differential dynamic feedback structure is introduced to improve the golden section search algorithm, overcoming the sensitivity of the initial parameters and reducing the calculation cycle. Finally, by estimating the target's escape maneuver, fast and accurate calculation of the air combat engagement zone is achieved. The simulation results show that the infrared detection zone model can correct the air combat engagement zone, and the improved algorithm can adapt to the calculation of engagement zone with high dynamic characteristics.