A generalized Kalman filter for 2D discrete systems

This paper studies the problem of state estimator design for stochastic twodimensional (2D) discrete systems described by the secondary 2D Fornasini-Marchesini odel subject to white noise in both the state and measurement equations. The aim is to design a 2D Kalman filter that minimizes the variance...

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Veröffentlicht in:	Circuits, systems, and signal processing systems, and signal processing, 2004-10, Vol.23 (5), p.351-364
Hauptverfasser:	Zou, Yun, Sheng, Mei, Zhong, Ningfan, Xu, Shengyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Detection, estimation, filtering, equalization, prediction Discrete systems Exact sciences and technology Information, signal and communications theory Kalman filters Signal and communications theory Signal, noise State estimation State vectors Telecommunications and information theory White noise
Online-Zugang:	Volltext
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