{"id":22645,"date":"2025-10-22T14:04:40","date_gmt":"2025-10-22T14:04:40","guid":{"rendered":"https:\/\/aerospacerepository.org\/?p=22645"},"modified":"2025-10-22T14:04:41","modified_gmt":"2025-10-22T14:04:41","slug":"optimized-multi-interceptor-deployment-strategy-for-hypersonic-targets-using-predictive-reachability-analysis","status":"publish","type":"post","link":"https:\/\/aerospacerepository.org\/index.php\/2025\/10\/22\/optimized-multi-interceptor-deployment-strategy-for-hypersonic-targets-using-predictive-reachability-analysis\/","title":{"rendered":"Optimized Multi-Interceptor Deployment Strategy for Hypersonic Targets Using Predictive Reachability Analysis"},"content":{"rendered":"\n<p><strong>Yuchen HAN, Ming YANG, Ping MA, Tao CHAO<\/strong><\/p>\n\n\n\n<p><strong>DOI Number: N\/A<\/strong><\/p>\n\n\n\n<p><strong>Conference number: HiSST-2025-254<\/strong><\/p>\n\n\n\n<p>This study proposes a multi-interceptor deployment strategy against high-speed maneuvering targets in atmospheric flight, leveraging predictive footprint analysis to optimize defensive coverage. An analytical model is developed to determine interceptor footprints based on maneuverability constraints and curve-fitting techniques, allowing rapid generation of engagement boundaries from specified launch points and predicted impact locations. By integrating this model with target footprint prediction, the interception problem is reformulated as a coverage optimization problem. A dedicated algorithm is designed to compute minimal-interceptor deployments that maximize coverage of the<br>target\u2019s potential trajectories. Numerical simulations demonstrate the method\u2019s ability to achieve effective interception with reduced resource allocation, confirming its operational feasibility against high-speed maneuvering threats.<\/p>\n\n\n\n<p><a href=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2025\/10\/HISST2025_254_paper.pdf\">Read the full paper here<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p><b>Yuchen HAN, Ming YANG, Ping MA, Tao CHAO<\/b><\/p>\n<p>DOI Number: N\/A<\/p>\n<p>Conference number: HiSST-2025-254<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[993,3365,3361],"tags":[3512,3514,3511],"class_list":["post-22645","post","type-post","status-publish","format-standard","hentry","category-events","category-guidance-control-systems-including-flight-mechanics-guidance-navigation-routing","category-1-hisst-2025","tag-hypersonic-targets","tag-optimization-algorithm","tag-predictive-reachability-analysis","category-993","category-3365","category-3361","description-off"],"_links":{"self":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/22645","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/comments?post=22645"}],"version-history":[{"count":1,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/22645\/revisions"}],"predecessor-version":[{"id":22647,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/22645\/revisions\/22647"}],"wp:attachment":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/media?parent=22645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/categories?post=22645"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/tags?post=22645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}