DocumentCode :
3392788
Title :
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
Link To Document :
بازگشت