DocumentCode :
2250177
Title :
An efficient non-iterative method for estimating the angles of arrival of known signals
Author :
Halder, Bijit ; Viberg, Mats ; Kailath, Thomas
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear :
1993
fDate :
1-3 Nov 1993
Firstpage :
1396
Abstract :
The vast majority of existing high resolution angle of arrival (AOA) estimators are designed for the case of completely unknown signal waveforms. However, in many applications, such as mobile communications, the receiver has access to the structure of the incoming signals. By exploiting this extra information, a considerable improvement in estimation accuracy and/or computational complexity can be achieved. Herein, we propose a simple two-step procedure for the case of perfectly known waveforms (up to gain and phase). Despite its low complexity, the method can operate in the presence of arbitrary noise fields including interfering signals. Furthermore, if the signals of interest are uncorrelated, the proposed technique yields statistically efficient AOA estimates
Keywords :
array signal processing; computational complexity; interference (signal); maximum likelihood estimation; parameter estimation; AOA estimates; angles of arrival estimation; computational complexity; estimation accuracy; gain; high resolution estimators; incoming signals structure; interfering signals; known waveforms; maximum likelihood estimation; mobile communications; noise fields; non-iterative method; phase; signal waveforms; two-step procedure; Computational complexity; Information systems; Maximum likelihood estimation; Mobile communication; Narrowband; Radar; Sensor arrays; Signal design; Signal resolution; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-4120-7
Type :
conf
DOI :
10.1109/ACSSC.1993.342311
Filename :
342311
Link To Document :
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