Abstract

A single-chip architecture of a dedicated-hardware QR decomposition processor (QRDP) for the extended square-root Kalman filter is presented. As a slave peripheral to a 32 bit host processor, this chip acts as a numeric coprocessor which exclusively performs the QR decompositions for measurement and time updates by using the sequences of fast Givens rotations and elementary matrices. QRDP can be programmed to implement the square-root Kalman filter with various dimensions. The maximum allowable numbers of measurements, process states, and noises are 6, 12, and 12, respectively. The application of QRDP considered is target-tracking Kalman filters. For the nine-state case, a simulation study shows that QRDP can achieve sub-millisecond performance for both QR decompositions for measurement and time updates. >

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.