Results 91 to 100 of about 1,423 (188)
In this article, hybrid probabilistic and geometric constellation shaping to enhance spectral efficiency in coherent optical communication systems, particularly under a Wiener phase noise channel, is investigated. By integrating a two‐stage phase search algorithm with digital signal processing and gradient descent, the method outperforms geometrically ...
Zhiyang Liu +5 more
wiley +1 more source
l1‐ATSXKF‐based state and bias estimation for non‐linear systems with non‐Gaussian process noise
To solve the problem of state and bias estimation for the nonlinear system with non‐Gaussian noise terms, combining the l1 norm and adaptive factors, a series of exogenous Kalman filters (XKF) based state and bias estimation algorithms are proposed. The simulation results show that the proposed algorithms can reduce the influence of the non‐Gaussian ...
Boyu Yang, Xueqin Chen, Fan Wu, Ming Liu
wiley +1 more source
The impetus of this work is to develop a more accurate filter, the Gaussian sum adaptive sparse grid quadrature filter, which can be applied to non‐linear non‐Gaussian systems. Based on the Gaussian sum filter framework, the sparse grid quadrature filter is used as a sub‐filter to complete the filtering, and a weighting function is created to ...
Chen Qian +3 more
wiley +1 more source
This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
Computational intelligence approaches to robotics, automation, and control [Volume guest editors] [PDF]
No abstract ...
Chen, Yi +5 more
core
Research on Navigation Method for Subsea Drilling Robot Based on Inertial Navigation and Odometry
This paper proposes a robust navigation method based on a robust square-root cubature Kalman filter (RSRCKF) to address the accuracy divergence of integrated navigation systems caused by drilling-induced slippage and the mismatch between the tail-cable ...
Yingjie Liu +6 more
doaj +1 more source
An SLAM Algorithm Based on Square-root Cubature Particle Filter [PDF]
The lack of the latest measurement information and the Particle serious degradation cause low estimation precision in the tradition particle filter SLAM (simultaneous localization and mapping).
Cai, Biao +4 more
core +1 more source
An Improved IMM Algorithm Based on STSRCKF for Maneuvering Target Tracking
To overcome the IMM algorithm is easy divergence and low tracking accuracy when dealing with complex maneuvering situations, this paper proposes an improved interactive multiple model strong tracking square room cubature Kalman filter (IIMM-STSRCKF ...
Bo Han +4 more
doaj +1 more source
Sensorless control of a PMSM based on an RBF neural network-optimized ADRC and SGHCKF-STF algorithm
For the problem of the rotor position estimation and control accuracy of permanent magnet synchronous motor (PMSM), this paper proposes a PMSM sensorless based on radial basis function (RBF) neural network optimized Automatic disturbance rejection ...
Haoran Li +5 more
doaj +1 more source
A Green Distributed Signal Reconstruction Algorithm in Wireless Sensor Networks
Environmental consideration provides new trends in wireless communication network known as green communication. The main object of green communication is to save as much as possible the energy consumption of the communication system.
Zhi Zhao, Jiuchao Feng, Bao Peng
doaj +1 more source

