Other Common Recursive Estimation Methods

2021 ◽  
pp. 423-452
Author(s):  
Tom J. Moir
Keyword(s):  
Recursive Estimation ◽  
Estimation Methods

Developing data fusion and recursive estimation methods for online identification of dive plane dynamics of an autonomous underwater vehicle

2019 ◽  
Vol 234 (2) ◽  
pp. 520-533
Author(s):  
Seid Farhad Abtahi ◽  
Mohammad Mehdi Alishahi ◽  
Ehsan Azadi Yazdi
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Unscented Kalman Filter ◽  
Underwater Vehicle ◽  
Recursive Estimation ◽  
High Rate ◽  
Pole Placement ◽  
Estimation Methods ◽  
Recursive Identification ◽  
Identification Algorithm ◽  
Hydrodynamic Coefficients

The purpose of this article is to develop an online method to identify the hydrodynamic coefficients of pitch plane of an autonomous underwater vehicle. To obtain necessary data for the identification, the dive plane dynamics should be excited through diving maneuvers. Hence, a controller is needed whose performance and stability are appropriate. To design such a controller, first, hydrodynamic coefficients are approximated using semi-empirical methods. Based on these approximated coefficients, a classic controller is designed at the next step. Since the estimation of these coefficients is uncertain, µ-analysis is employed to verify the robustness of stability and performance of the controller. Using the verified robust controller, some oscillating maneuvers are carried out that excite the dive plane dynamics. Using sensor fusion and unscented Kalman filter, smooth and high-rate data of depth is provided for the depth controller. A recursive identification algorithm is developed to identify the hydrodynamic coefficients of heave and pitch motions. It turns out that some inputs required by the identification are not measured directly by the sensors. But the devised fusion algorithm is able to provide the necessary data for identification. Finally, using the identified coefficients and employing pole placement method, a new controller with better performance is synthesized online. To evaluate the performance of the identification and fusion algorithms, a 6-degree-of-freedom simulation of an autonomous underwater vehicle is carried out.

Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography

2005 ◽  
Author(s):  
Amine Hamdi ◽  
Eric L. Miller ◽  
David Boas ◽  
Maria A. Franceschini ◽  
Misha E. Kilmer
Keyword(s):  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Recursive Estimation ◽  
Estimation Methods

scholarly journals Methods of monitoring and control of parameters of signals and elements of the mobile communication network when solving the problem of electromagnetic compatibility

2020 ◽  
pp. 3-15
Author(s):  
Yulia Koliadenko ◽  
Mykyta Chursanov ◽  
Oleksii Koliadenko
Keyword(s):  
Mobile Communication ◽  
Electromagnetic Compatibility ◽  
Random Variables ◽  
Random Processes ◽  
Recursive Estimation ◽  
Estimation Methods ◽  
Measured Signal ◽  
Monitoring And Control ◽  
Communication Signals ◽  
And Control

To ensure the electromagnetic compatibility of mobile networks, it is necessary to monitor and control: radio frequency resource, frequency and power of signals in the allocated frequency resource, group delay time, resistance parameters to linear attenuation and attenuation associated with multi-beam signal transmission, polarization signal parameters, location (coordinates) of moving sources. The evaluation of parameters based on the results of measurements is currently carried out based on observations, and decision-making is carried out based on sample statistics. The use of methods for measuring the parameters of network elements and communication signals against the background of thermal noise is proposed. The measurement methods are based on the recursive Robbins-Monroe algorithm for estimating such parameters as random variables and the recursive Kalman-Bussey algorithm for estimating random processes. The efficiency analysis of recursive algorithms of optimal estimation of random variables and random processes is carried out. The advantage of recursive estimation methods is that, in practice, they are more effective than statistical processing methods, as they provide real-time estimation and do not require a waste of time for accumulation and processing. In addition to noise, extraneous signals are concentrated in the spectrum with the measured signal in radio communication channels. This fact determines the problem relevance of extracting from the additive mixture of signals and interference of useful signals that come from measurements. Methods for measuring the parameters of network elements and communication signals in the conditions of external signals have been developed. The possibility of using in the meters of parameters of mobile communication networks adaptive noise compensators with adaptive reference reception channel is considered, reducing the power of extraneous signals by 20 … 30 decibels and more.

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