Conference proceeding
Smoothing improvement ratio for α-β and α-β-γ tracking systems
1992 American Control Conference, v 1, pp 862-866
Jun 1992
Abstract
This paper presents the optimal solution for the generalized, one-dimensional target tracking prediction and smoothing process. Closed form, steady state solutions for the α, α-β, and α-β-γ prediction tracker (parameters and performance) are shown to be dependent on the Tracking Index [1], a function of the track period, measurement noise and target maneuverability. An off-line smoothed track is obtained by combining two independent tracks: a forward filtered track and a backwards predicted track. The smoothing performances, Smoothing Improvement Ratio, and track combining weights are presented in closed form as functions of the α's and β's.
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3 citations in Scopus
Details
- Title
- Smoothing improvement ratio for α-β and α-β-γ tracking systems
- Creators
- Paul R Kalata - Drexel UniversityThomas A Chmielewski - Systems Concepts
- Publication Details
- 1992 American Control Conference, v 1, pp 862-866
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; [Retired Faculty]
- Scopus ID
- 2-s2.0-0027079771
- Other Identifier
- 991019222533404721