DIRECTION FINDING USING INTERPOLATED ARRAYS IN UNKNOWN NOISE FIELDS

In this paper, an extended UN-ESPRIT (Wu and Reilly, 1991) method is p roposed to estimate the direction of arrival (DOA) in unknown noise fi elds. Compared with the UN-ESPRIT approach, the new method can be used to perform high resolution DOA estimation with simpler structure of a rrays and less sensors by using virtual interpolated arrays. On the as sumption that the noise correlation is spatially limited, the effects of unknown noise are eliminated through canonical correlation analysis of the data received from two spatially separated real arrays, and DO A estimation is carried out from the outputs of two interpolated array s, which are translationally equivalent and have arbitrary array geome tries.