SPECC - A New Technique for Direction of Arrival Estimation

2011 ◽  
pp. 152-160 ◽  
Author(s):  
In-Sik Choi
Keyword(s):  
Direction Of Arrival ◽  
New Technique ◽  
Direction Of Arrival Estimation ◽  
A New Technique

scholarly journals A new technique for direction of arrival estimation for ionospheric multipath channels

2009 ◽  
Vol 44 (6) ◽  
pp. 653-662 ◽  
Author(s):  
Mehmet B. Guldogan ◽  
Orhan Arıkan ◽  
Feza Arıkan
Keyword(s):  
Direction Of Arrival ◽  
Multipath Channels ◽  
New Technique ◽  
Direction Of Arrival Estimation ◽  
A New Technique

scholarly journals Application of Sparse Representation to Bartlett Spectra for Improved Direction of Arrival Estimation

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 77
Author(s):  
Jacob Compaleo ◽  
Inder J. Gupta
Keyword(s):  
Sparse Representation ◽  
Regularization Parameter ◽  
Angular Separation ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Small Signal ◽  
Music Algorithm ◽  
A New Technique ◽  
Better Than

A new technique for high-resolution direction of arrival estimation is presented. The method utilizes the traditional Bartlett spectra and sparse representation to locate emitters in single and multiple emitter scenarios. A method for selecting the sparse representation regularization parameter is also presented. Using Monte Carlo simulations, we show that the proposed approach achieves accurate direction of arrival (DOA) estimations that are unbiased and a variance that approaches the Cramer–Rao lower bound. We show that our method outperforms the popular MUSIC algorithm, and is slightly better than the sparse representation based L1-SVD algorithm when angular separation between emitters is small, signal SNR is low, and a small number of snapshots are used in DOA estimation.

A new technique for the mapping of oxygen tension on the brain surface

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S543-S543
Author(s):  
Satoshi Kimura ◽  
Keigo Matsumoto ◽  
Yoshio Imahori ◽  
Katsuyoshi Mineura ◽  
Toshiyuki Itoh
Keyword(s):  
Oxygen Tension ◽  
New Technique ◽  
Brain Surface ◽  
A New Technique ◽  
The Brain

A new technique to visualize alveolar dynamics in a rabbit model

2009 ◽  
Vol 56 (S 01) ◽  
Author(s):  
J Bickenbach ◽  
R Rossaint ◽  
R Autschbach ◽  
R Dembinski
Keyword(s):  
Rabbit Model ◽  
New Technique ◽  
A New Technique
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