NDLI: Matching pursuit for direction of arrival estimation in the presence of Gaussian noise and impulsive noise

Content Provider	IET Digital Library
Author	Ghofrani, Sedigheh
Abstract	Two high-resolution direction of arrival (DOA) estimation approaches of non-stationary narrowband signals based on matching pursuit (MP) are developed. The first sensor output is considered as the reference and decomposed by MP. As the MP is a linear decomposition, the obtained MP coefficients contain the steering vector information. So, the MP coefficients corresponding to the leading decomposition atoms are used to develop the MP-MUSIC algorithm for the DOA estimation. In addition, the chosen MP atoms are used to implement the modified spatial time–frequency distribution (STFD) based on Wigner Ville (WV) distribution as well, and this method named MP-WV. It has been demonstrated that these two methods can be applied for underdetermined problems and are robust against Gaussian and impulsive noises. The authors show that using either coefficients or chosen atoms to estimate the DOA in array processing by considering the source discriminative capability outperforms the conventional MUSIC and STFD. Some simulation results showing the performance of the two proposed approaches based on MP, conventional MUSIC and STFD are presented.
Starting Page	540
Ending Page	551
Page Count	12
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 5, Jul (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0286
Journal	IET Signal Processing
Publisher Date	2014-01-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Processing Array Signal Processing Decomposition Atoms Direction of Arrival Estimation DOA Estimation Approach Gaussian Noise High-resolution Direction of Arrival Estimation Approach Impulse Noise Linear Decomposition Matching Pursuit Modified Spatial Time-frequency Distribution MP-MUSIC Algorithm Signal Classification Signal Processing And Detection Signal Processing Theory Source Discriminative Capability Statistics Steering Vector Information STFD Time-frequency Analysis Wigner Distribution Wigner Ville Distribution WV Distribution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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