Theater-Wide Reference Information Management

Berning, S.; Howe, Peter; Jenkins, Tony

doi:10.1109/naecon.1996.517626

Cited by 6 publications

(2 citation statements)

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“…The concept of an inertial network system in aircraft avionics was initially proposed by Kelley et al [1] and subsequently developed by Berning et al [2] and Kaiser et al [3]. In this architecture, inertial sensor systems are located at several places in an aircraft in order to meet the fault tolerance requirements of aircraft navigation and to provide accurate local inertial state vectors for several airborne avionics systems.…”

Section: Introductionmentioning

confidence: 99%

“…Redundant inertial systems are used to provide the level of fault tolerance necessary in aircraft navigation systems, in order to meet safety and reliability requirements for civil or military aircraft. Typically, a combat platform may have 12 inertial measurement units (IMUs) of various quality providing the inertial state vector information needed in mission-critical avionics systems and weapon systems [2]. These IMUs are installed at different locations in a flexible airframe and both structural and in-flight misalignments between these sensors/weapon locations need to be estimated in order to align the dynamic sensors and weapon systems.…”

Section: Introductionmentioning

confidence: 99%

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Distributed data fusion algorithms for inertial network systems

Allerton

Jia

2008

IET Radar Sonar Navig.

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New approaches to the development of data fusion algorithms for inertial network systems are described. The aim of this development is to increase the accuracy of estimates of inertial state vectors in all the network nodes, including the navigation states, and also to improve the fault tolerance of inertial network systems. An analysis of distributed inertial sensing models is presented and new distributed data fusion algorithms are developed for inertial network systems. The distributed data fusion algorithm comprises two steps: inertial measurement fusion and state fusion. The inertial measurement fusion allows each node to assimilate all the inertial measurements from an inertial network system, which can improve the performance of inertial sensor failure detection and isolation algorithms by providing more information. The state fusion further increases the accuracy and enhances the integrity of the local inertial states and navigation state estimates. The simulation results show that the two-step fusion procedure overcomes the disadvantages of traditional inertial sensor alignment procedures. The slave inertial nodes can be accurately aligned to the master node. Inertial network system architecturesAn inertial network architecture is illustrated in Fig. 1 in which each node represents an individual sensing location

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%