Back to Search
Start Over
Research on prediction of maneuvering routes of anti-aircraft fire units under long-range joint strikes.
- Source :
- Systems Engineering & Electronics; 2024, Vol. 46 Issue 7, p2413-2423, 11p
- Publication Year :
- 2024
-
Abstract
- In the offensive operations of the red and blue sides, in order to fully seize the battlefield air superiority, the blue side air defense fire units are usually taken as the first key targets. Therefore, it is of great significance to accurately predict the activity law of the blue side air defense fire units and scientifically design the joint reconnaissance and attack actions. Firstly, the maneuver support mode adopted by the air defense fire unit is systematically analyzed, the defense capability calculation formula is given based on the definition of defense capability, and the grid network model is introduced to complete the quantitative calculation. Based on the support scope constraint, position resource constraint and maneuver process constraint, the shortest maneuver route and the highest defense capability are taken as the optimization objectives for the actual support requirements. A prediction model for maneuvering route of ground air defense fire units is established. Secondly, aiming at the problem of solving the nonlinear model, the model linearization transformation and solving method are proposed. Then, on the basis of the optimal transfer route, an algorithm for constructing maneuver route library is designed to generate the probabilistic prediction scheme of blue side maneuver route and analyze the maneuver law of blue side air defense fire units. Finally, based on the case simulation, the feasibility and global efficiency of the designed model and method are verified, which can effectively predict the maneuvering route of blue side anti-aircraft fire units. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 1001506X
- Volume :
- 46
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Systems Engineering & Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 178890051