Simultaneous detection of signals arriving at a sensor array and estimation of their parameters is carried out using higher than second-order statistics. Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the parameters as well as the number of non-Gaussian but unknown sources. The novel cumulant based algorithms can estimate parameters of more sources with fewer sensors. Simulations confirm superior resolution capability of the proposed methods for both narrow-band and wideband sources in the presence of low SNR additive correlated Gaussian noise.
Bibliographical noteFunding Information:
Manuscript received July 8, 1992; revised June 28, 1993. The associate editor coordinating the review of this paper and approving it for .publication was Prof. Daniel Fuhrmann. This work was supported by LABCOM contract 5-25254 and NSFMIP-9210230.