Study on Kalman filtering for noise filtration in INS

Zhang, Xia; Kang, Chunpeng

doi:10.1109/asc-icsc.2008.4675476

Search citation statements

Order By: Relevance

Paper Sections

Select...

( ) ( ) ( )1

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2011

2014

Publication Types

Select...

Article2

Other2

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In equation ( 4), P(k|k-1) is the covariance matrix of X(k|k-1), while P(k-1|k-1) is the covariance matrix of X(k-1|k-1). , A is the transposition matrix of A. Equations ( 3) and ( 4) are the time updating equations of Kalman filter [4] .…”

Section: ( ) ( ) ( )mentioning

confidence: 99%

A New Method Implementation of Kalman Filter Based on FPGA

Zhang

Zou

2014

AMR

View full text Add to dashboard Cite

Kalman filter is one of the most essential and important computing methods in the fields of control, signal processing and communication. In the past, mostly Kalman filter is implemented by DSP, but the operating speed could not meet the requirement. Therefore, the study will research the implement methods of Kalman filter based on FPGA. MicroBlaze soft core and VHDL (Hardware Description Language) are used to implement Kalman filter. The operating results will be analyzed and compared with each other.

show abstract

Section: ( ) ( ) ( )mentioning

confidence: 99%

A New Method Implementation of Kalman Filter Based on FPGA

Zhang

Zou

2014

AMR

View full text Add to dashboard Cite

show abstract

“…Kalman filter is an important field of computer application. It is one of the most effective methods to solve the noise and it is widely applied in the control of aircraft, missile and satellite [1,2] . Kalman filter could generate a kind of recursive estimate.…”

Section: Introductionmentioning

confidence: 99%