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Interpolated Adaptive Doppler Filter for Estimating Velocity
-
J. Valarmathi
,
D. S. Emmanuel
Published/Copyright:
June 5, 2013
Abstract
This paper discusses the application of Lagrange interpolation and cubic spline interpolation to predict acceleration/velocity and to adapt better window lengths for any range of target acceleration. The estimated velocity/acceleration is then smoothed using Kalman and adaptive Kalman filters. Simulation results show that in a ‘high-level noise’ scenario, the interpolated adaptive filter gives a more accurate estimation than the existing method of using a rectangular window function. Track initialization error minimized with spline interpolation was comparable to that minimized with Lagrange interpolation.
Received: 2012-10-28
Published Online: 2013-06-05
Published in Print: 2013-06-04
©[2013] by Walter de Gruyter Berlin Boston
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Keywords for this article
Lagrange's polynomial;
cubic spline;
Kalman filter;
adaptive Kalman filter
Articles in the same Issue
- Masthead
- Practical Design Issues of Sweeping Wideband Millimeter Wave Heterodyne Receiver Front-ends
- Hybrid SIW-GCPW Narrow-Wall 3 dB Coupler
- Interpolated Adaptive Doppler Filter for Estimating Velocity
- Crosstalk Suppression in High Data Rate and High Density Hard Disk Drive Interconnects Using Magnetic Composites
- Random Sequence Based Multipolling Method for Collecting Ubiquitous RFID Tag Data in Wireless LANs
- Hybrid DDS-PLL Frequency Synthesizer with Reference Clock Modulation
- New Formulation of the Equations Describing the Locked States of Two Van der Pol Oscillators Coupled through a Broadband Network – Application to the Design of Two Differential Coupled VCOs
- Joint Cooperative Temporal Sensing and Distributed Estimation for Bayesian Optimal Threshold
- Analysis of the Performance of the Two-way Relaying under the Influence of Channel Estimation Error and Co-channel Interference
