Direction estimation using conjugate cyclic cross-correlation: more signals than sensors

Authors:
V. B. Manimohan;W. J. Fitzgerald
Affiliations:
Dept. of Eng., Cambridge Univ., UK;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Year:
1999

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Abstract

We consider the problem of estimating the directions of arrival of multiple communication signals arriving at a uniform linear array. By considering the conjugate cyclic cross-correlations of the sensor outputs and using a Bayesian framework, we propose a direction finding algorithm that allows us to estimate the directions of arrival for a more signals than sensors scenario. The algorithm does not need any training sequence and only requires a priori knowledge of the cyclic frequencies and the number of sources. It is also possible to estimate the directions of arrival in a multipath fading environment under certain conditions.