A constrained total least squares approach for sensor position calibration and direction finding

Author

Hwang, Soonjoo ; Williams, Douglas B.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1994

fDate

29-31 Mar 1994

Firstpage

155

Lastpage

159

Abstract

In this paper we present a new maximum likelihood array signal processing algorithm that uses self-calibration and the total least squares (TLS) technique for improved direction finding when the sensor (or antenna) positions are not known exactly. The TLS method is a generalized data fitting method that is appropriate for cases when the system model contains error or is not known. In order to apply TLS techniques to array signal processing, we propose constrained-TLS (C-TLS) and show that the solution can be represented by combining the constraint and the least squares (LS) approach. The algorithm performs calibration and direction estimation iteratively using both TLS and C-TLS techniques

Keywords

array signal processing; calibration; least squares approximations; linear systems; maximum likelihood estimation; parameter estimation; TLS method; array signal processing algorithm; constrained total least squares; direction estimation; direction finding; generalized data fitting method; maximum likelihood method; self-calibration; sensor position calibration; system model; Array signal processing; Calibration; Direction of arrival estimation; Least squares methods; Maximum likelihood estimation; Narrowband; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 1994., Record of the 1994 IEEE National

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-1438-7

Type

conf

DOI

10.1109/NRC.1994.328117

Filename

328117