Title :
An iterative virtual-ESPRIT algorithm (IVESPA)
Author :
Gönen, Egemen ; Mendel, Jerry M.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
An iterative algorithm (IVESPA) for narrow-band direction-finding and waveform recovery is presented which is based on the virtual-ESPRIT (VESPA) of Dogan and Mendel (see IEEE Trans. on Signal Processing, vol.42, no.5, p.1200, 1995). IVESPA can handle the case where the data length is short and some of the sources have very small higher-order statistics compared to others, in which case VESPA needs more data to localize the weak sources. IVESPA can be applied to uncalibrated and arbitrary-shape arrays provided the array has two sensors having identical response-the same requirement as in VESPA. Results of a real data experiment demonstrating IVESPA are presented
Keywords :
direction-of-arrival estimation; higher order statistics; iterative methods; DOA estimation; IVESPA; arbitrary shape arrays; data experiment; higher-order statistics; iterative virtual ESPRIT algorithm; narrowband direction finding; short data length; uncalibrated arrays; waveform recovery; weak sources; Binary phase shift keying; Constellation diagram; Covariance matrix; Higher order statistics; Image processing; Iterative algorithms; Narrowband; Parameter estimation; Sensor arrays; Signal processing;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534826
