{"id":4357,"date":"2025-10-29T22:16:49","date_gmt":"2025-10-29T22:16:49","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4357"},"modified":"2025-10-29T22:16:49","modified_gmt":"2025-10-29T22:16:49","slug":"fft-only-spectral-triage-for-low-latency-rf-control-planes-from-1-5-ms-digital-vs-analog-decisions-to-near-100-command-success","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=4357","title":{"rendered":"FFT-Only Spectral Triage for Low-Latency RF Control Planes: From 1.5 ms Digital-vs-Analog Decisions to Near-100% Command Success"},"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\/10\/FFT-Only-Spectral-Triage-for-Low-Latency-RF-Control-Planes-bgilbert1984.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of FFT-Only Spectral Triage for Low-Latency RF Control Planes bgilbert1984.\"><\/object><a id=\"wp-block-file--media-d44e56b6-ab38-4190-9c1a-e6230e4335e7\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/10\/FFT-Only-Spectral-Triage-for-Low-Latency-RF-Control-Planes-bgilbert1984.pdf\">FFT-Only Spectral Triage for Low-Latency RF Control Planes bgilbert1984<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/10\/FFT-Only-Spectral-Triage-for-Low-Latency-RF-Control-Planes-bgilbert1984.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-d44e56b6-ab38-4190-9c1a-e6230e4335e7\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">\u2014Rapid RF triage must support not just signal<br>classification but reliable command delivery under poor link<br>quality. We extend a normalized 1024-pt FFT with light<br>post-filters \u2014 previously shown to outperform a tiny CNN<br>(AUROC 0.754 vs 0.671, 48\u00d7 fewer FLOPs, 1.5 ms p99 at 0<br>dB) \u2014 into a live control plane. Using fleet telemetry, we map<br>connection quality (signal\/100) to command success rate,<br>retransmits, and p95 latency. Results show: Q1 (worst 20%) \u0019<br>59.5% success, 1.93 retransmits, 3722 ms p95; Q5 (best 20%) \u0019<br>99.9% success, 0.19 retransmits, 406 ms p95. A hybrid gate using<br>FFT confidence as a proxy for link quality cuts average compute<br>11\u00d7whilepushingsuccessabove99.7%.F ullreproducibleharnessreleased.<br>I. INTRODUCTION<br>RF control planes demand rapid spectrum sensing that<br>not only classifies signals but actively improves end-to-end<br>command reliability. Traditional approaches treat signal processing and transport reliability as separate domains, missing<br>opportunities for cross-layer optimization. We argue that<br>spectrum sensing should drive transport policy \u2014 using spectral<br>confidence as a predictor of link quality to enable adaptive<br>compute allocation and robust command delivery.<br>Modern tactical operations require sub-second command<br>latency with near-100% reliability across heterogeneous RF<br>environments. Pure CNN-based approaches achieve high<br>classification accuracy but impose prohibitive computational<br>overhead for edge deployment. Conversely, lightweight FFTonly methods sacrifice accuracy for speed. We bridge this gap<br>through a hybrid gate that dynamically escalates low-confidence<br>classifications to heavier models while maintaining fast-path<br>performance for high-quality links.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u2014Rapid RF triage must support not just signalclassification but reliable command delivery under poor linkquality. We extend a normalized 1024-pt FFT with lightpost-filters \u2014 previously shown to outperform a tiny CNN(AUROC 0.754 vs 0.671, 48\u00d7 fewer FLOPs, 1.5 ms p99 at 0dB) \u2014 into a live control plane. Using fleet telemetry, we mapconnection quality (signal\/100)&hellip;&nbsp;<\/p>\n","protected":false},"author":2,"featured_media":4359,"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-4357","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\/4357","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=4357"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4357\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/4359"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4357"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}