A robust high resolution algorithm for space spectrum by direct data domain

Author

Xing, Gao-xiang ; Cai, Zhi-ming

Author_Institution

Dept. of Electron. Eng., Naval Univ. of Eng., Wuhan, China

fYear

2010

fDate

24-28 Oct. 2010

Firstpage

373

Lastpage

375

Abstract

This work introduces a new robust high resolution algorithm for space spectrum based on the direct data domain least square (D³LS) method. This work adds a virtual desired signal to the receiving data and treats the actual desired sources as interferences. Then nulls result on the direct of the actual desired sources by D³LS adaptive processing. A new beampattern is got after proper processing of the virtual mainlobe. If the beampattern is upside-down, we get a space spectrum for the actual desired sources. This work gives the implementing steps and simulation results show the validity of the proposed algorithm.

Keywords

array signal processing; interference (signal); least squares approximations; signal resolution; spectral analysis; D³LS adaptive processing; D³LS method; beampattern; direct data domain least square method; interference; robust high resolution algorithm; space spectrum; virtual mainlobe; Array signal processing; Arrays; Multiple signal classification; Noise; Signal processing algorithms; Signal resolution; Simulation; Adaptive arrays; Direct data domain least square (D³LS) algorithm; High resolution; Space spectrum;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2010 IEEE 10th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5897-4

Type

conf

DOI

10.1109/ICOSP.2010.5655187

Filename

5655187