A least-squares algorithm for multipath time-delay estimation

1994 ◽  
Vol 42 (11) ◽  
pp. 3229-3233 ◽  
Author(s):  
T.G. Manickam ◽  
R.J. Vaccaro ◽  
D.W. Tufts
Keyword(s):  
Time Delay ◽  
Least Squares ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Least Squares Algorithm

A Sound Sources Locating Method of Constrained Least Squares Based on Time Delay Estimation

2011 ◽  
Vol 130-134 ◽  
pp. 2019-2022
Author(s):  
Shu Jing Su ◽  
Hai Li Zhang
Keyword(s):  
Time Delay ◽  
Least Squares ◽  
Least Squares Method ◽  
Target Position ◽  
Time Delay Estimation ◽  
Velocity Estimation ◽  
Delay Estimation ◽  
Limited Data ◽  
Sound Sources ◽  
Positioning Method

The sound sources positioning method based on time delay estimation is through the iteration of a group of nonlinear equation to solve the target position. Most of the existing methods is to solve under the hypothesis that the sound spread velocity in air is known. This paper puts forward several effective methods of source orientation and propagation velocity estimation. These methods are only using the time delay which comes from the received signal between sensors separated in space to deduce the solving method of sound source location and sound’s speed estimation based on least squares, total least squares, limited data not sure and constraint least squares method, and then compare the characteristics of these methods through the computer simulation.

scholarly journals A Novel Adaptive Super-Twisting Sliding Mode Control Scheme with Time-Delay Estimation for a Single Ducted-Fan Unmanned Aerial Vehicle

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 54
Author(s):  
Minh-Thien Tran ◽  
Dong-Hun Lee ◽  
Soumayya Chakir ◽  
Young-Bok Kim
Keyword(s):  
Time Delay ◽  
Sliding Mode Control ◽  
Unmanned Aerial Vehicle ◽  
Sliding Mode ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Mode Control ◽  
Ducted Fan ◽  
Control Scheme ◽  
Aerial Vehicle

This article proposes a novel adaptive super-twisting sliding mode control scheme with a time-delay estimation technique (ASTSMC-TDE) to control the yaw angle of a single ducted-fan unmanned aerial vehicle system. Such systems are highly nonlinear; hence, the proposed control scheme is a combination of several control schemes; super-twisting sliding mode, TDE technique to estimate the nonlinear factors of the system, and an adaptive sliding mode. The tracking error of the ASTSMC-TDE is guaranteed to be uniformly ultimately bounded using Lyapunov stability theory. Moreover, to enhance the versatility and the practical feasibility of the proposed control scheme, a comparison study between the proposed controller and a proportional-integral-derivative controller (PID) is conducted. The comparison is achieved through two different scenarios: a normal mode and an abnormal mode. Simulation and experimental tests are carried out to provide an in-depth investigation of the performance of the proposed ASTSMC-TDE control system.

Sign in / Sign up

Export Citation Format

Share Document