Paper
19 May 2022 Research on cooperative collimating and locating model of air defense based on extended Kalman filter
Puyang Zhang, Bu Xu
Author Affiliations +
Proceedings Volume 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022); 122500B (2022) https://doi.org/10.1117/12.2639599
Event: International Symposium on Computer Applications and Information Systems (ISCAIS2022), 2022, Shenzhen, China
Abstract
The existing antiaircraft fire system is a multi-level system, including high-precision long-range missiles and low-precision short-range antiaircraft artilleries. When firepower nodes are destroyed by the enemy or locked by missiles, it is necessary to position the target with other available collimating equipment. Therefore, it is of great significance to study how to achieve high-precision cooperative collimating and locating effect with direction finding and ranging data of lower precision. The problem can be solved by the principle of extended Kalman filter, and improved by an introduced feedback link in the simulation process. It has proved that this method is conducive to gradually narrowing the data error to stability in different time spans, which is applicable to this coordinative problem and promotes the effectiveness of air defense combat.
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Puyang Zhang and Bu Xu "Research on cooperative collimating and locating model of air defense based on extended Kalman filter", Proc. SPIE 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022), 122500B (19 May 2022); https://doi.org/10.1117/12.2639599
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KEYWORDS
Data modeling

Weapons

Defense and security

Filtering (signal processing)

Complex systems

Error analysis

Control systems

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