LP-W- \ell -SVD Algorithm for Direction-of-Arrival Estimation

This paper presents an effective direction-of-arrival (DOA) estimation method based on a new computation method of the ℓ ∞ -norm for a complex matrix. Making use of the new computation method of the ℓ ∞ -norm, the DOA estimation problem can be efficiently formulated as a linear programming (LP) prob...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE sensors journal Ročník 17; číslo 2; s. 428 - 433
Hlavní autoři: Liu, Fulai, Du, Ruiyan, Cheng, Yajian, Sun, Zhenxing
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 15.01.2017
Témata:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <inline-formula> <tex-math notation="LaTeX"> ell _{\infty } </tex-math> </inline-formula> -norm
Array signal processing
Direction-of-arrival estimation
Estimation
Iterative methods
joint sparse
linear programming
Minimization
Optimization
Sensors
Sparse matrices
ISSN:1530-437X, 1558-1748
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper presents an effective direction-of-arrival (DOA) estimation method based on a new computation method of the ℓ ∞ -norm for a complex matrix. Making use of the new computation method of the ℓ ∞ -norm, the DOA estimation problem can be efficiently formulated as a linear programming (LP) problem. Thus, the proposed method can effectively give the DOA estimation by finding the sparse coefficients which are obtained by solving the LP problem. Except for the first singular value decomposition of the data matrix, the proposed method is effectively implemented in the light of the LP theory based on real-valued computation. It avoids solving the complicated second-order cone programming problem. Furthermore, it can primely suppress spurious peaks in DOA estimation. Simulation results demonstrate the efficiency of the presented approach.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2627549