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DTSTART:20220313T030000
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DTSTART:20221106T010000
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DTSTAMP:20230205T230428Z
UID:7B6546F8-553A-4E71-ABE5-A3320DDE7DCF
DTSTART;TZID=America/Los_Angeles:20220818T183000
DTEND;TZID=America/Los_Angeles:20220818T203000
DESCRIPTION:Since their invention shortly after World War II\, inertial nav
 igation systems have proven to be indispensable in the aerospace industry.
  They are immune to jamming and provide position\, velocity and attitude w
 ith low noise\, high data rates and low data latencies. Since the 1960s\, 
 the long-term drift inherent in any inertial system has typically been cor
 rected through the integration of an external aiding source via an extende
 d Kalman filter. Aiding sources have varied over the decades and\, althoug
 h GNSS is currently the most popular choice\, the future of navigation can
  be characterized simply as “inertial-plus.” Plus what? Whatever the b
 est aiding source happens to be. Vision? Electro-optics? LADAR? Signals-of
 -opportunity? Maybe all of the above. In this lecture we will review the k
 ey operating principles of inertial navigation and will highlight the majo
 r error characteristics. The primary inertial-aiding design architectures 
 will then be discussed along with performance considerations.\n\nSpeaker(s
 ): Michael S. Braasch\, \n\nAgenda: \n6:30 PM: Food and Networking\n7:00 P
 M: Presentation\n\nBldg: Cal Lutheran Center for Entrepreneurship (Hub101)
 \, 31416 Agoura Rd\, Westlake Village\, California\, United States\, 91361
 \, Virtual: https://events.vtools.ieee.org/m/318184
LOCATION:Bldg: Cal Lutheran Center for Entrepreneurship (Hub101)\, 31416 Ag
 oura Rd\, Westlake Village\, California\, United States\, 91361\, Virtual:
  https://events.vtools.ieee.org/m/318184
ORGANIZER:tehrani@ieee.org
SEQUENCE:23
SUMMARY:Inertial+\, the Once and Future Navigation System
URL;VALUE=URI:https://events.vtools.ieee.org/m/318184
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Since their invention shortly after World 
 War II\, inertial navigation systems have proven to be indispensable in th
 e aerospace industry. &amp;nbsp\;They are immune to jamming and provide positi
 on\, velocity and attitude with low noise\, high data rates and low data l
 atencies. &amp;nbsp\;Since the 1960s\, the long-term drift inherent in any ine
 rtial system has typically been corrected through the integration of an ex
 ternal aiding source via an extended Kalman filter. &amp;nbsp\;Aiding sources 
 have varied over the decades and\, although GNSS is currently the most pop
 ular choice\, the future of navigation can be characterized simply as &amp;ldq
 uo\;inertial-plus.&amp;rdquo\; &amp;nbsp\;Plus what? &amp;nbsp\;Whatever the best aidi
 ng source happens to be. &amp;nbsp\;Vision? Electro-optics? &amp;nbsp\;LADAR? &amp;nbs
 p\;Signals-of-opportunity? &amp;nbsp\;Maybe all of the above. &amp;nbsp\;In this l
 ecture we will review the key operating principles of inertial navigation 
 and will highlight the major error characteristics. &amp;nbsp\;The primary ine
 rtial-aiding design architectures will then be discussed along with perfor
 mance considerations.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:30 PM: Food and Ne
 tworking&lt;br /&gt;7:00 PM: Presentation&lt;/p&gt;
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