Title :
Posterior Cramer-Rao Bounds for State Estimation with Quantized Measurement
Author :
Duan, Zhansheng ; Jilkov, Vesselin P. ; Li, X. Rong
Author_Institution :
Univ. of New Orleans, New Orleans
Abstract :
Under the assmuption that the components of the measurement noise vector are uncorrelated with each other, the posterior Cramer-Rao lower bound (PCRLB) for state estimation with quantized measurements is given in this paper. A typical aircraft altitude tracking scenario in the air traffic control (ATC) field is studied through Monte-Carlo simulation, which illustrates the usefulness of the proposed PCRLB to evaluate the performance of the widely used Sheppard´s correction method for state estimation with quantized measurement.
Keywords :
Monte Carlo methods; air traffic control; aircraft control; Monte-Carlo simulation; air traffic control; aircraft altitude tracking; posterior Cramer-Rao lower bound; state estimation; Additive noise; Aerospace control; Air traffic control; Aircraft; Cramer-Rao bounds; Equations; Filters; Noise measurement; Parameter estimation; State estimation;
Conference_Titel :
System Theory, 2008. SSST 2008. 40th Southeastern Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1806-0
Electronic_ISBN :
0094-2898
DOI :
10.1109/SSST.2008.4480258
