NDLI: Altitude measurement of low-elevation target for VHF radar based on weighted sparse Bayesian learning

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Volume 12 (2018) : Issue 3, May

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IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Altitude measurement of low-elevation target for VHF radar based on weighted sparse Bayesian learning

Content Provider	IET Digital Library
Author	Li, Cunxu Chen, Baixiao Yang, Minglei Zheng, Yisong
Abstract	In this study, a novel method is proposed to deal with the problem of altitude measurement of a low-elevation target for very high frequency radars in complex terrains. The problem typically concerns about the direction-of-arrival (DOA) estimation method for closely spaced and correlated signals arose by multipath propagation, in which the multipath signal would be modulated by the rough and irregular reflecting surface, result in amplitude and phase perturbation and energy fluctuations of the receiving signals. A perturbation multipath propagation model is derived where the influence of irregular reflecting in complex terrain is taken as a random perturbation of the multipath signal. The spatial sparsity of the receiving signal is then exploited, and a weighted sparse Bayesian learning method is proposed to estimate both the random perturbation coefficients and DOA of the incident signal with high precision. Both the computer simulations and real data analysis indicate the efficiency and superior performance of the proposed method in dealing with altitude measurement in complex terrain.
Starting Page	403
Ending Page	409
Page Count	7
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 4, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0738
Journal	IET Signal Processing
Publisher Date	2017-11-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Altitude Measurement Belief Network Computer Simulations Direction of Arrival Estimation Direction-of-arrival Estimation Method Low-elevation Target Perturbation Multipath Propagation Model Radar Equipment Radar Signal Processing Random Perturbation Coefficient Real Data Analysis Signal Processing And Detection System And Application Very High Frequency Radars VHF Radar Weighted Sparse Bayesian Learning
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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