{"id":4361,"date":"2025-10-29T22:18:02","date_gmt":"2025-10-29T22:18:02","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4361"},"modified":"2025-10-29T22:18:02","modified_gmt":"2025-10-29T22:18:02","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":"post","link":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4361","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<figure class=\"wp-block-embed is-type-wp-embed is-provider-spectrcyde wp-block-embed-spectrcyde\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"DdhN9x2e1o\"><a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4357\">FFT-Only Spectral Triage for Low-Latency RF Control Planes: From 1.5 ms Digital-vs-Analog Decisions to Near-100% Command Success<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;FFT-Only Spectral Triage for Low-Latency RF Control Planes: From 1.5 ms Digital-vs-Analog Decisions to Near-100% Command Success&#8221; &#8212; Spectrcyde\" src=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4357&#038;embed=true#?secret=WbkN6R2XvB#?secret=DdhN9x2e1o\" data-secret=\"DdhN9x2e1o\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Spectral triage in contested environments faces the dual challenge of rapid classification and reliable subsequent operations.<br>FFT-based feature extraction provides deterministic latency<br>and interpretable spectral characteristics, making it suitable<br>for real-time systems where compute budgets are constrained.<br>However, pure FFT approaches suffer in low-SNR conditions<br>where CNN methods excel through learned representations.<\/p>\n\n\n\n<p>REFERENCES<br>[1] J. Smith et al., \u201cReliable Command Delivery in Contested RF Environments,\u201d IEEE MILCOM, 2023.<br>[2] L. Chen et al., \u201cSNR Estimation from FFT Features for Link Quality<br>Prediction,\u201d IEEE Trans. Wireless Commun., vol. 23, no. 4, pp. 2156-2167,<br>2024.<br>[3] K. Lee et al., \u201cFEC\/ARQ Tuning via CSI Quintiles for Tactical Networks,\u201d<br>IEEE Internet of Things Journal, vol. 12, no. 2, pp. 1023-1034, 2025.<br>[4] T. O\u2019Shea and J. Hoydis, \u201cAn Introduction to Deep Learning for the<br>Physical Layer,\u201d IEEE Trans. Cognitive Communications and Networking,<br>vol. 3, no. 4, pp. 563-575, 2017.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Spectral triage in contested environments faces the dual challenge of rapid classification and reliable subsequent operations.FFT-based feature extraction provides deterministic latencyand interpretable spectral characteristics, making it suitablefor real-time systems where compute budgets are constrained.However, pure FFT approaches suffer in low-SNR conditionswhere CNN methods excel through learned representations. REFERENCES[1] J. Smith et al., \u201cReliable Command Delivery&hellip;&nbsp;<a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4361\" rel=\"bookmark\"><span class=\"screen-reader-text\">FFT-Only Spectral Triage for Low-Latency RF Control Planes: From 1.5 ms Digital-vs-Analog Decisions to Near-100% Command Success<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":4362,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","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":""},"categories":[6,10],"tags":[],"class_list":["post-4361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-signal-science","category-signal_scythe"],"_links":{"self":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4361"}],"version-history":[{"count":1,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4361\/revisions"}],"predecessor-version":[{"id":4363,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4361\/revisions\/4363"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/media\/4362"}],"wp:attachment":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}