{"id":3502,"date":"2025-09-17T01:30:36","date_gmt":"2025-09-17T01:30:36","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=3502"},"modified":"2025-09-17T01:30:36","modified_gmt":"2025-09-17T01:30:36","slug":"hybrid-triangulation-with-soft-aoa-tdoa-fusion-for-robust-emitter-geolocation","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=3502","title":{"rendered":"Hybrid Triangulation with Soft AoA + TDoA Fusion for Robust Emitter Geolocation"},"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\/Hybrid-Triangulation-with-Soft-AoAplusTDoA-B.-Gilbert.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Hybrid Triangulation with Soft AoAplusTDoA B. Gilbert.\"><\/object><a id=\"wp-block-file--media-3d0631e4-9132-47b4-afd8-2468d2d437cb\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Hybrid-Triangulation-with-Soft-AoAplusTDoA-B.-Gilbert.pdf\">Hybrid Triangulation with Soft AoAplusTDoA B. Gilbert<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Hybrid-Triangulation-with-Soft-AoAplusTDoA-B.-Gilbert.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-3d0631e4-9132-47b4-afd8-2468d2d437cb\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">We propose a hybrid localization framework that<br>fuses soft angle-of-arrival (AoA) distributions with timedifference-of-arrival (TDoA) refinements for improved emitter<br>geolocation. Unlike classical triangulators that threshold AoA<br>estimates into hard lines-of-bearing, our method leverages full<br>AoA logits as probabilistic evidence, then applies TDoA-based<br>refinement to resolve ambiguity and reduce geometric dilution<br>of precision (GDOP). Monte Carlo simulations show consistent<br>accuracy gains, with up to 40% RMSE reduction compared to<br>AoA-only triangulators under noisy conditions. The approach<br>scales to multi-emitter settings and arbitrary sensor configurations, providing a flexible and computationally efficient fusion<br>mechanism suitable for radar, GNSS, and passive surveillance<br>applications.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"776\" height=\"720\" src=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-75.png\" alt=\"\" class=\"wp-image-3504\" srcset=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-75.png 776w, https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-75-300x278.png 300w, https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-75-768x713.png 768w\" sizes=\"auto, (max-width: 776px) 100vw, 776px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>We propose a hybrid localization framework thatfuses soft angle-of-arrival (AoA) distributions with timedifference-of-arrival (TDoA) refinements for improved emittergeolocation. Unlike classical triangulators that threshold AoAestimates into hard lines-of-bearing, our method leverages fullAoA logits as probabilistic evidence, then applies TDoA-basedrefinement to resolve ambiguity and reduce geometric dilutionof precision (GDOP). Monte Carlo simulations show consistentaccuracy gains, with up&hellip;&nbsp;<\/p>\n","protected":false},"author":2,"featured_media":3504,"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-3502","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\/3502","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=3502"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3502\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/3504"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3502"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}