Novel direction-finding algorithms that exploit the nonGaussian and cyclostationary nature of communication signals are explored. The proposed methods that are appropriate for uniform linear arrays employ cyclic higher order statistics of the array output and suppress additive Gaussian noise of unknown spectral content, even when the noise shares common cycle frequencies with the nonGaussian signals of interest. In addition, cyclic higher order statistics are tolerant to nonGaussian interferences with cycle frequencies other than those of the desired signals and allow one to consistently estimate the angles of arrival of signal sources (per cycle) whose number can be greater than the number of sensors.
Bibliographical noteFunding Information:
Manuscript received April 30, 1993; revised March 4, 1994. This work was supported by ONR Grant N00014-93-1-0485. The associate editor coordinating the review of this paper and approving it for publication was Prof. John Goutsias. Part of this paper was presented at the International Conference on Acoustics, Speech, and Signal Processing, Minneapolis, MN, April 1993.