Wavelet beamspace STAP for uniform linear arrays

Author

Jouny, I.

Author_Institution

Dept. of Electr. & Comput. Eng., Lafayette Coll., Easton, PA, USA

Volume

1

fYear

1999

fDate

11-16 July 1999

Firstpage

348

Abstract

Space time adaptive processing is implemented in this paper in beamspace using a wavelet based transformation. We show that given a fixed number of beamspace elements, wavelet based STAP outperforms that of DFT based STAP, or sinusoidal tapers based STAP. Wavelet based decomposition divides the uniformly sampled element-space array into nonuniform dyadically distributed orthogonal beamspace elements. Adaptive processing in the wavelet domain improves signal-to-interference plus noise ratio depending on the type of wavelet used.

Keywords

array signal processing; linear antenna arrays; space-time adaptive processing; wavelet transforms; SINR; STAP; beamspace; nonuniform dyadically distributed orthogonal beamspace elements; signal-to-interference plus noise ratio; space time adaptive processing; uniform linear arrays; uniformly sampled element-space array; wavelet based decomposition; wavelet based transformation; Array signal processing; Clutter; Covariance matrix; Discrete Fourier transforms; Filters; Interference; Jamming; Pulse measurements; Signal to noise ratio; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1999. IEEE

Conference_Location

Orlando, FL, USA

Print_ISBN

0-7803-5639-x

Type

conf

DOI

10.1109/APS.1999.789151

Filename

789151