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Monday, July 13, 2020 | History

1 edition of INS Aiding Using Passive, Bearings-Only Measurements of an Unknown Stationary Ground Object found in the catalog.

INS Aiding Using Passive, Bearings-Only Measurements of an Unknown Stationary Ground Object

INS Aiding Using Passive, Bearings-Only Measurements of an Unknown Stationary Ground Object

  • 243 Want to read
  • 30 Currently reading

Published by Storming Media .
Written in English

    Subjects:
  • TRA008000

  • The Physical Object
    FormatSpiral-bound
    ID Numbers
    Open LibraryOL11844807M
    ISBN 101423502795
    ISBN 109781423502791

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    level tracking) using individual sensor measurements, and then the state estimation results by the sensor‐level tracking filters are sent to a central‐level fusion tracker to form a global track file by sensor SPIE Digital Library Proceedings. Proc. SPIE , Signal Processing, Sensor Fusion, and Target Recognition XIV, pg (25 May ); doi: /

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INS Aiding Using Passive, Bearings-Only Measurements of an Unknown Stationary Ground Object Download PDF EPUB FB2

The theory behind inertial navigation system (INS) aiding using passive, bearings-only measurements of an unknown ground object is developed. Passive, bearings-only measurements provide an The INS aiding action of passive bearings-only measurements of ground objects is investigated.

This paper carefully derives the equations needed to synthesize an Extended Kalman Filter in order to incorporate these measurements online into an INS and achieve INS aiding action using optical, bearings-only measurements of ground ://   INS AIDING USING PASSIVE, BEARINGS-ONLY MEASUREMENTS OF AN UNKNOWN STATIONARY GROUND OBJECT I.

Introduction For centuries man has been on the move, crossing continents and oceans in search of adventure, riches, conquest, and scientific discovery. The simple act of moving from one place to another whether by foot, ship, or aircraft is often The theory is developed in the context of kinematic navigation.

Stand-alone bearings-only measurements over time of an unknown, but stationary, ground object and kinematic navigation are shown to yield estimates of the aircraft’s angle of attack, and sideslip angle, which allows an ?articleID= The theory behind inertial navigation system (INS) aiding using passive, bearings-only measurements of an unknown ground object is developed.

Passive, bearings-only measurements provide an effective means to aid an INS, but only the two-dimensional case was previously considered. This paper addresses the complexities of moving from two-dimensional to three-dimensional :// The INS aiding action of passive bearings-only measurements of ground objects is investigated.

time of an unknown, but stationary, ground object and kinematic navigation are shown to yield Inertial Navigation System (INS) aiding using bearing measurements taken over time of stationary ground INS Aiding Using Passive is investigated.

A vertical munition drop is considered. The objective is to quantify the temporal development of the uncertainty in the navigation states provided by a munition’s INS which is aided by taking bearing measurements   The idea is to use measurements taken by the pilot using the E/O system to aid an existing INS, thus automating the naviga-tor’s function.

The pilot will track a ground feature with the E/O system, while the aircraft is on autopilot holding constant airspeed, altitude, and heading during an INS aiding session.

The ground feature measurements INS-Aiding Using Bearings-Only Measurements of an Unknown Ground Object, Meir Pachter, Alec Porter, and Murat Polat Optimizing the Integration of Terrain Referenced Navigation with INS and GPS, Paul D.

Groves, Robin J. Handley, and Andrew R. Runnalls 5 discuss aiding an INS using “bearings-only measurements of an unknown ground object in three-dimensional space”, specifically an “optical flow measurement.” They specifically address completely passive techniques to avoid “jamming, spoofing, or interference.” Their technique is not suitable for, nor designed for, SAR aiding the :// Navigation System aiding using bearing measurements of stationary ground features is investigated.

The objective is to quantify the navigation information obtained by tracking ground features over CONCLUSION This work introduced a new, operated-assisted V-INS navigation method based on a modified measurement model for aiding an INS using bearings-only measure- ments taken over time of a stationary, but unknown ground, :// Since INS/GNSS navigation in GNSS-denied or challenged environments may require the so-called “visual aiding”—i.e., the inclusion of tie features measurements in the navigation filter and the implicit or explicit use of the corresponding images’ exterior orientation—we mention the related pioneering work in Grün () on real-time Numerous institutions, universities, businesses and militaries have begun developing USVs for various applications over the past two decades.

Recent developments are listed in Table 3, which in spite of our best efforts may not constitute an exhaustive t USVs development remains immature (Roberts & Sutton, ).Most existing USVs are confined to experimental platforms, comprised A stationary ground-based gravity gradiometer could be used in portal perimeter monitoring to detect gravitational effects produced by mass distributions of shrouded containers or the contents of railcars and trucks moving through the portals, or in observations of missiles to determine the number of warheads they carry or whether extraordinary   The Car Hacker’s Handbook goes into a lot more detail about car hacking and even covers some things that aren’t directly related to security, like performance tuning and useful tools for understanding and working with vehicles.

Why Car Hacking Is Good for All of Us. If you’re holding this book, you may already know why you’d want to   Object Recognition & Segmentation III - Interactive Session, 6 papersSubsession WeAT, Manipulation III - Interactive Session, 6 papers   Newton-based maximum likelihood estimation in nonlinear state space models**E-mail address to corresponding author: [email protected] This work is supported by CADICS, a Linnaeus Center, and by the project Probabilistic modeling of dynamical systems (Contract number: ), both funded by the Swedish Research Council (VR).

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