Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1145-1155 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 42 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 1994 |
| Externally published | Yes |
Bibliographical note
Funding 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.
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