{"id":3201,"date":"2024-10-22T12:13:17","date_gmt":"2024-10-22T09:13:17","guid":{"rendered":"https:\/\/fti.dp.ua\/conf\/?p=3201"},"modified":"2024-10-22T12:13:46","modified_gmt":"2024-10-22T09:13:46","slug":"10226-1148","status":"publish","type":"post","link":"https:\/\/fti.dp.ua\/conf\/2024\/10226-1148\/","title":{"rendered":"Review of GPS-Free Navigation Methods for Unmanned Aerial Vehicles"},"content":{"rendered":"\n

Review of GPS-Free Navigation Methods for Unmanned Aerial Vehicles<\/h1>\n\n\n\n
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Oleksandr Taran<\/strong><\/h5>\n\n\n\n

ORCID: https:\/\/orcid.org\/0009-0009-3744-9155<\/a><\/em><\/p>\n\n\n\n

Oles Honchar Dnipro National University<\/em><\/p>\n<\/div><\/div>\n\n\n\n

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Purpose. <\/strong>This paper reviews various non-GPS navigation methods for Unmanned Aerial Vehicles (UAVs), with a particular focus on radio frequency (RF) techniques such as Time of Flight (TOF), Received Signal Strength Indicator (RSSI), and Time Difference of Arrival (TDOA). Design \/ Method \/ Approach. <\/strong>The study compares time-based and signal strength-based approaches for locating mobile UAVs, emphasizing the accuracy of multilateration and the impact of antenna design. It also explores recent advances in LoRa-based downlink TDOA networks and ensemble averaging to improve location precision. Findings. <\/strong>RF-based navigation methods, particularly those combining TDOA and RSSI, have proven effective for UAV navigation. LoRa-based systems utilizing ensemble averaging have demonstrated accuracy of better than four meters under controlled conditions, making them a viable alternative in scenarios where GPS usage is limited or unavailable. Theoretical Implications. <\/strong>This study contributes to the understanding of RF-based navigation systems and their application in UAVs, highlighting the potential of TOF and TDOA techniques for high-precision location tracking where GPS usage is limited. Practical Implications. <\/strong>Implementing LoRa-based downlink TDOA networks could offer a cost-effective, ground-based alternative to GPS, especially in environments where GPS signals are unreliable or unavailable. Originality \/ Value. <\/strong>This review addresses the growing need for alternative UAV navigation methods in the absence of GPS, discussing advanced sensor fusion techniques and synchronization methods unique to LoRa technology. Research Limitations \/ Future Research. <\/strong>While promising, the accuracy of LoRa-based navigation systems requires further validation in real-world UAV applications. Future research could explore optimizing power consumption and reducing infrastructure costs.<\/p>\n\n\n\n

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NO ARTICLE SUBMITTED<\/a><\/div>\n<\/div>\n\n\n\n
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CIMS 2024 Autumnal<\/a><\/div>\n\n
Control Systems, Telecommunications and Navigation<\/a><\/div><\/div>\n\n\n\n
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Review of GPS-Free Navigation Methods for Unmanned Aerial Vehicles Oleksandr Taran ORCID: https:\/\/orcid.org\/0009-0009-3744-9155 Oles Honchar Dnipro National University Purpose. This paper reviews various non-GPS navigation methods for Unmanned Aerial Vehicles (UAVs), with a particular focus on radio frequency (RF) techniques such as Time of Flight (TOF), Received Signal Strength Indicator (RSSI), and Time Difference of Arrival (TDOA). Design \/ Method \/ Approach. The study compares time-based and signal strength-based approaches for locating mobile UAVs, emphasizing the accuracy of multilateration and … <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[38],"class_list":["post-3201","post","type-post","status-publish","format-standard","hentry","category-electronics-2","tag-cims-2024-autumnal"],"_links":{"self":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts\/3201","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/comments?post=3201"}],"version-history":[{"count":2,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts\/3201\/revisions"}],"predecessor-version":[{"id":3203,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts\/3201\/revisions\/3203"}],"wp:attachment":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/media?parent=3201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/categories?post=3201"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/tags?post=3201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}