Multipath Estimation Based on Centered Error Entropy Criterion for Non-Gaussian Noise
With the advance of software receiver, multipath estimation becomes a key issue for high accuracy positioning systems. It is crucial for eliminating the multipath error and improving the positioning accuracy to estimate multipath parameters. The accessible multipath estimation algorithms are usually...
Main Authors: | Lan Cheng, Mi F. Ren, Gang Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7782379/ |
Similar Items
-
Comprehensive Analysis of Multipath Estimation Algorithms in the Framework of Information Theoretic Learning
by: Lan Cheng, et al.
Published: (2018-01-01) -
On the Smoothed Minimum Error Entropy Criterion 
by: Badong Chen, et al.
Published: (2012-11-01) -
Convex Regularized Recursive Minimum Error Entropy Algorithm
by: Xinyu Wang, et al.
Published: (2024-03-01) -
Convergence of a Fixed-Point Minimum Error Entropy Algorithm
by: Yu Zhang, et al.
Published: (2015-08-01) -
An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion
by: Badong Chen, et al.
Published: (2014-04-01)