Hybrid adaptive algorithm based on temporal update and spatial spectrum estimation for adaptive array antenna

Author

Watanabe, Kazunori ; Kohno, Ryuji

Author_Institution

Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan

Volume

1

fYear

2000

fDate

2000

Firstpage

175

Abstract

Both classes of adaptive algorithm based on temporal update, e.g. LMS and spatial spectral estimation, e.g. DFT have advantages and disadvantages relatively. In order to compensate for their problems with maintaining advantages, this paper proposes and investigates an adaptive array antenna using combined DFT and LMS algorithm. The proposed combined or hybrid algorithm can improve the convergence speed of the weight coefficients in the temporal updating algorithm and accuracy of weight coefficients in the spatial spectral estimation algorithm

Keywords

adaptive antenna arrays; array signal processing; convergence of numerical methods; direction-of-arrival estimation; discrete Fourier transforms; least mean squares methods; spectral analysis; DFT algorithm; DOA estimation; LMS algorithm; adaptive array antenna; convergence speed; digital beamforming; hybrid adaptive algorithm; spatial spectral estimation algorithm; spatial spectrum estimation; temporal updating algorithm; weight coefficients; Adaptive algorithm; Adaptive arrays; Antenna arrays; Direction of arrival estimation; Discrete Fourier transforms; Least squares approximation; Maintenance engineering; Mean square error methods; Multiple signal classification; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd

Conference_Location

Boston, MA

ISSN

1090-3038

Print_ISBN

0-7803-6507-0

Type

conf

DOI

10.1109/VETECF.2000.886650

Filename

886650