{"id":62197,"date":"2019-06-20T22:11:48","date_gmt":"2019-06-20T14:11:48","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/untapped-pnt-data-from-ground-receivers-could-help-more-quickly-detect-jamming-spoofing\/"},"modified":"2019-06-20T22:11:48","modified_gmt":"2019-06-20T14:11:48","slug":"untapped-pnt-data-from-ground-receivers-could-help-more-quickly-detect-jamming-spoofing","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/untapped-pnt-data-from-ground-receivers-could-help-more-quickly-detect-jamming-spoofing\/","title":{"rendered":"Untapped PNT Data From Ground Receivers Could Help More Quickly Detect Jamming, Spoofing"},"content":{"rendered":"<\/p>\n

Machine Learning (ML) could help the U.S. military harness Precision, Navigation, and Timing (PNT) data it can already access to detect spoofing or jamming efforts more quickly, a Marine Corps<\/strong> engineer said June 12.<\/p>\n

In focusing particularly on GPS technologies, industry and warfighters alike are not taking enough advantage of PNTdata that can be extracted from equipment such as the AN\/PSN-13 Defense Advanced GPS Receiver (DAGR), said Jim Baker, senior principal engineer for the Marine Corps Tactical Systems Support Activity (MCTSSA), a subordinate command of Marine Corps Systems Command located at Camp Pendleton, California.<\/p>\n

An Airman with the 374th Security Forces Squadron uses a Defense Advanced GPS Receiver (DAGR) to track the team\u2019s current location in correlation with the coordinates of the mission objective during a field training exercise at Camp Fuji, Japan, Nov. 8, 2018. The DAGR integrates map graphics with two signals of GPS code to help units in the field stay on course. (U.S. Air Force photo by Senior Airman Matthew Gilmore)<\/p>\n

\u201cThere is so much more information available from a DAGR today that nobody is looking at, nobody is using, and it\u2019s being \u2026 updated every single second,\u201d he said Wednesday during a presentation at the SMI Group\u2019s Military Space USA conference here. He urged program managers to consider utilizing that data more productively, rather than focusing solely on GPS technology.<\/p>\n

The U.S. military can draw PNT data from a variety of sources to provide assured command and control, to include human operators, platform instruments and both GPS-enabled and non-GPS-enabled systems, he said.<\/p>\n

In the MCTSSA laboratory, Baker can create training data for machine learning applications to help differentiate between instances of spoofing and jamming equipment, as well as \u201cnormal\u201d situations, he said.<\/p>\n

\u201cI can record data \u2026 with well over 2,000 bits of information every second\u201d that can help train a machine to detect when jamming or spoofing begins, and \u201cdifferentiate that from just incidental or normal [electromagnetic interference] from local transmitters that might be getting in the system,\u201d he said.<\/p>\n

The goal would be to generate automatic reports with all the spectral information that is available from PNT receivers into a technical report that can be used by command posts, ground operators and the intelligence community. In an era of renewed great power competition in space where alternate PNT data could be crucial, this report would be \u201cjust another source\u201d of information, he noted.<\/p>\n

The commando on the ground may not be aware that their device is being jammed until hours after the incident, Baker said. \u201cMaybe Intel has got access to all these sensors,\u201d he adds. But if a Marine only finds out five hours later, \u201cthat\u2019s probably too late.\u201d<\/p>\n

\u201cIf I can find out and detect the jamming \u2026 from when it\u2019s first detected by my receiver and starts collecting data or analyzing that, or at least recognize that there\u2019s jamming going on \u2013 even before it actually affects my PNT solution \u2013 then I can do something about it,\u201d Baker continued.<\/p>\n

\n

To read more of Vivienne Machi\u2019s coverage of MilSpace, visit Defense Daily. <\/em><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Machine Learning (ML) could help the U.S. military harness Precision, Navigation, and Timing (PNT) data it can already access to detect spoofing or jamming efforts more quickly, a Marine Corps engineer said June 12. In focusing particularly on GPS technologies, industry and warfighters alike are not taking enough advantage of PNTdata that can be extracted […]<\/p>\n","protected":false},"author":1,"featured_media":62198,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[],"class_list":["post-62197","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/62197"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=62197"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/62197\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media\/62198"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=62197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=62197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=62197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}