NDLI: Robust range estimation algorithm based on hyper-tangent loss function

Content Provider	IET Digital Library
Author	Park, Chee Hyun Chang, Joon Hyuk
Abstract	Herein, the authors present a robust estimator of range against the impulsive noise using only the received signal's magnitude. The M estimator has been widely used in robust signal processing. However, the existing M estimator requires statistical testing involving a threshold which has an optimality that varies with time, hence algorithmically challenging and computationally burdensome. The statistical testing is utilised for discerning the inlier and outlier. Further, statistical testing renders the computational burden of the algorithm high since the testing must be performed for each observation. Therefore, they propose the M estimator based on the hyper-tangent loss function, which does not demand statistical testing. Conventional M estimator employing information theoretic learning also does not call for statistical testing, but the mean square error (MSE) performance for the range estimation is inferior to that of the proposed method. Furthermore, they perform an analysis for the MSE for the proposed algorithm. Monte Carlo simulations not only validate their theoretical analysis, but also demonstrate the MSE performance of the proposed method is nearly same as the existing skipped filter although it does not require the statistical testing and optimal threshold selection.
Starting Page	314
Ending Page	321
Page Count	8
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 5, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0343
Journal	IET Signal Processing
Publisher Date	2020-04-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Digital Signal Processing Estimation Theory Hyper-tangent Loss Function Impulse Noise Information Theoretic Learning Interpolation And Function Approximation M Estimator Mean Square Error Method Mean Square Error Performance Monte Carlo Method Monte Carlo Simulation MSE Performance Numerical Analysis Received Signal Magnitude Robust Range Estimation Algorithm Robust Signal Processing Signal Processing Signal Processing And Detection Statistical Analysis Statistical Testing Statistics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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