{"id":3467,"date":"2025-09-16T15:04:09","date_gmt":"2025-09-16T15:04:09","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=3467"},"modified":"2025-09-16T15:04:09","modified_gmt":"2025-09-16T15:04:09","slug":"rf-sequence-recovery-with-graph-based-inference-an-aoa-only-approach","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=3467","title":{"rendered":"RF Sequence Recovery with Graph-Based Inference: An AoA-Only Approach"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/RF-Sequence-Recovery-with-Graph-Based-Inference-An-AoA-Only-Approach-Benjamin-J-Gilbert-College-of-the-Mainland-Robotic-Process-Automation.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of RF Sequence Recovery with Graph-Based Inference An AoA-Only Approach Benjamin J Gilbert College of the Mainland Robotic Process Automation.\"><\/object><a id=\"wp-block-file--media-b51bfc47-7d25-497b-befd-c97d78df3e63\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/RF-Sequence-Recovery-with-Graph-Based-Inference-An-AoA-Only-Approach-Benjamin-J-Gilbert-College-of-the-Mainland-Robotic-Process-Automation.pdf\">RF Sequence Recovery with Graph-Based Inference An AoA-Only Approach Benjamin J Gilbert College of the Mainland Robotic Process Automation<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/RF-Sequence-Recovery-with-Graph-Based-Inference-An-AoA-Only-Approach-Benjamin-J-Gilbert-College-of-the-Mainland-Robotic-Process-Automation.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-b51bfc47-7d25-497b-befd-c97d78df3e63\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">We present an angle-of-arrival (AoA) based RF<br>sequence recovery system that reconstructs emitter trajectories<br>from sparse, noisy observations. Our method leverages gridbased mobility graphs with beam search inference to recover<br>plausible paths under uncertainty. The approach discretizes the<br>surveillance area into a spatial grid where nodes represent candidate emitter positions and edges enforce mobility constraints. A<br>beam search algorithm maintains multiple trajectory hypotheses,<br>updating path probabilities as new AoA measurements arrive.<br>Experimental evaluation on synthetic trajectories demonstrates<br>robust reconstruction performance even when observation fractions are low (25%) and AoA measurements are corrupted by<br>significant noise (\u03c3\u03b8 = 10\u25e6<br>). Compared to classical triangulation<br>methods, our graph-based approach improves median position<br>error by 25\u201340% specifically in low-observation-fraction (\u03c1 &lt; 0.5) and high-noise (\u03c3\u03b8 &gt; 8<br>\u25e6<br>) regimes, highlighting its utility<br>for passive geolocation in contested RF environments where<br>traditional methods fail.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.facebook.com\/benjamin.j.gilbert\"><img loading=\"lazy\" decoding=\"async\" width=\"954\" height=\"859\" src=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-74.png\" alt=\"\" class=\"wp-image-3469\" srcset=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-74.png 954w, https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-74-300x270.png 300w, https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-74-768x692.png 768w\" sizes=\"auto, (max-width: 954px) 100vw, 954px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>We present an angle-of-arrival (AoA) based RFsequence recovery system that reconstructs emitter trajectoriesfrom sparse, noisy observations. Our method leverages gridbased mobility graphs with beam search inference to recoverplausible paths under uncertainty. The approach discretizes thesurveillance area into a spatial grid where nodes represent candidate emitter positions and edges enforce mobility constraints. Abeam search algorithm maintains&hellip;&nbsp;<\/p>\n","protected":false},"author":2,"featured_media":3469,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-3467","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3467"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3467\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/3469"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}