Detection of number of two-dimensional cisoids for array processing algorithms

Author

Salo, Jari ; El-Sallabi, H.M. ; Vainikainen, P.

Author_Institution

Radio Lab., Helsinki Univ. of Technol., Espoo, Finland

Volume

1

fYear

2003

fDate

6-9 Oct. 2003

Firstpage

45

Abstract

We present a new minimum description length type criterion for the problem of inferring the number of 2D complex sinusoids (cisoids) present in observed data contaminated by white Gaussian noise. The criterion does not require estimation of the 2D frequencies or selection of any subjective threshold parameters, and it is shown to be consistent. An application to the detection of the number of coherent signals in a 2D antenna array processing scenario illustrates the good complexity-performance trade-off of the proposed method.

Keywords

Gaussian noise; antenna arrays; array signal processing; covariance matrices; white noise; 2D cisoid detection; antenna array processing; array processing algorithms; coherent signal detection; complex sinusoids; covariance matrix estimation; matrix enhancement; minimum description length type criterion; spatial smoothing; white Gaussian noise contaminated data; Antenna measurements; Array signal processing; Covariance matrix; Detection algorithms; Frequency estimation; Gaussian noise; Laboratories; Pollution measurement; Robustness; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th

ISSN

1090-3038

Print_ISBN

0-7803-7954-3

Type

conf

DOI

10.1109/VETECF.2003.1284975

Filename

1284975