SBIR/STTR Research Award

Error-Frame Representation for Spacecraft Visual Relative Navigation

Award identifier 284793c13a046706bc8ec142d7ea811c2d600105e71d47c99410108b786064f7Awarding agency National Aeronautics and Space Administration

Award amount

$124,795

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
XANALYTIX SYSTEMS LLC
Proposal award date
2019-08-19
Contract end date
2020-02-18
UEI
RRYCSUFDB511
Solicitation number
SBIR_19_P1
Topic code
S3

Research abstract

Relative navigation of spacecraft has been an area of active research since the Apollo era. nbsp;Optical sensor systems offer a distinct advantage for spacecraft relative navigation applications by collecting passive data to be used as measurement updates; however, these systems often require large databases of feature locations on the deputy spacecraft and a communication link to retrieve IMU data from the deputy spacecraft.nbsp;The central objective of the proposed technology is the development of a spacecraft relative navigation system that is capable of using an arbitrary non-cooperative object as the deputy spacecraft without the need of training trials. nbsp;The technology consists of a novel sensor, called VISNAV, an IMU and computational hardware. nbsp;During Phase I, the actual relative navigation algorithms will be developed. nbsp;The algorithms will consist of extracting feature information from the images collected by the optical sensor. nbsp;This feature information will be utilized for determining rate information of the deputy vehicle through an optical flow technique. nbsp;It will also be used for measurement updates in a newly derived filter, called the geometric extended Kalman filter, which provides physically consistent estimates, unlike all existing filter formulations. nbsp;Finally, a multiple hypothesis tracking algorithm will be used to compare the expected feature locations from the filter to the ones measured in the images. nbsp;This will ensure that the features are accurately tracked over time, thus eliminating the need to train the system or rely on a communication datalink.nbsp;It is expected that at the completion of Phase I the navigation algorithms will be derived and verified through simulation testing as well as hardware in the loop testing within a realistic test environment. nbsp;This initial testing and hardware configuration will be used to expedite prototyping and system tests to be conducted during Phase II.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

28 SBIR/STTR records share this UEI (2016–2026). Reported award amounts total $16,148,561. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

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