Dynamic channel-order estimation algorithm

2006 ◽  
Vol 54 (5) ◽  
pp. 1922-1925
Author(s):  
P.J. Green ◽  
D.P. Taylor
Keyword(s):  
Estimation Algorithm ◽  
Order Estimation ◽  
Dynamic Channel

scholarly journals Bayesian Time Delay Estimation of GNSS Signals in Dynamic Multipath Environments

2008 ◽  
Vol 2008 ◽  
pp. 1-11 ◽  
Author(s):  
Michael Lentmaier ◽  
Bernhard Krach ◽  
Patrick Robertson
Keyword(s):  
Estimation Algorithm ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Multipath Mitigation ◽  
Movement Model ◽  
Efficient Integration ◽  
Tracking Loops ◽  
Dynamic Channel ◽  
Navigation Signals ◽  
Sequential Bayesian Estimation

A sequential Bayesian estimation algorithm for multipath mitigation is presented, with an underlying movement model that is especially designed for dynamic channel scenarios. In order to facilitate efficient integration into receiver tracking loops, it builds upon complexity reduction concepts that previously have been applied within maximum likelihood (ML) estimators. To demonstrate its capabilities under different GNSS signal conditions, simulation results are presented for both BPSK-modulated and BOC-(1,1) modulated navigation signals.

Channel Order Estimation Algorithm Based on Subspace Channel Matrix Recursion

2014 ◽  
Vol 35 (2) ◽  
pp. 432-437
Author(s):  
You-ming Sun ◽  
Luo-kun Liu ◽  
Bo Cui ◽  
Hong Guo
Keyword(s):  
Estimation Algorithm ◽  
Channel Matrix ◽  
Order Estimation

scholarly journals Triple Estimation of Fractional Variable Order, Parameters, and State Variables Based on the Unscented Fractional Order Kalman Filter

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8159
Author(s):  
Dominik Sierociuk ◽  
Michal Macias
Keyword(s):  
Kalman Filter ◽  
Fractional Order ◽  
Unscented Kalman Filter ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Variable Order ◽  
State Variables ◽  
Order Estimation ◽  
Wide Range ◽  
Dual Estimation

In this paper, a method for states, parameters, and fractional order estimation is presented. The proposed method is an extension of the traditional dual estimation method and uses three blocks of filters with appropriate data interconnections. As the main part of the estimation algorithm, the Fractional Unscented Kalman Filter was used. The proposed Triple Estimation algorithm might be treated as a convenient tool for estimation and analysis of a wide range of dynamical systems with fractional constants or variable order nature, especially when knowledge about the identified system is very restricted and both order and system parameters are unknown. In order to show the performance of the proposed algorithm, sets of numerical results are presented.

The Statistical Evaluations of Transmission Characteristics, Limits of Ranges and Speeds of Transmission of Information Via the Pulsed Atmospheric Bistatic Optical Channels

2019 ◽  
pp. 97-104
Author(s):  
Mikhail V. Tarasenkov ◽  
Egor S. Poznakharev ◽  
Vladimir V. Belov
Keyword(s):  
Communication Systems ◽  
Estimation Algorithm ◽  
Transmission Characteristics ◽  
Radiation Beam ◽  
Optical Channels ◽  
The Monte Carlo Method ◽  
Wide Range ◽  
Transmission Of Information ◽  
Optical Axes ◽  
Visibility Range

The simulation program by the Monte Carlo method of pulse reactions of bistatic atmospheric aerosol-gas channels of optical-electronic communication systems (OECS) is created on the basis of the modified double local estimation algorithm. It is used in a series of numerical experiments in order to evaluate statistically the transfer characteristics of these channels depending on the optical characteristics of an atmosphere plane-parallel model for wavelengths λ = 0.3, 0.5, and 0.9 μm at a meteorological visibility range SM = 10 and 50 km. The results are obtained for a set of basic distances between the light source and the light receiver up to 50 km and for the angular orientations of the optical axes of a laser radiation beam and of the receiving system in a wide range of their values. The dependences of the pulse reactions maximum values over-the-horizon channels of the OECS on the variations of these parameters are established.

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