Adaptive array processing in non-Gaussian environments
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Richmond, CD
Published in: IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
January 1, 1996
In several adaptive array application areas the Gaussian distribution has not proven to be an accurate model of the measured data. Nevertheless, Gaussian based processors have demonstrated robust performance in spite of this statistical mismatch. A need therefore exists for the consideration of (i) problem reformulation and (ii) performance analysis in non-Gaussian environments. The theory of complex multivariate elliptically contoured (MEC) distributions provides an attractive theoretic framework for these considerations especially in the adaptive array setting. We replace the Gaussian data assumption with one of MEC distributed and reexamine the optimality and performance of widely used adaptive detection and beamforming structures.
Duke Scholars
Published In
IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Publication Date
January 1, 1996
Start / End Page
562 / 565
Citation
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Richmond, C. D. (1996). Adaptive array processing in non-Gaussian environments. In IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP (pp. 562–565).
Richmond, C. D. “Adaptive array processing in non-Gaussian environments.” In IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP, 562–65, 1996.
Richmond CD. Adaptive array processing in non-Gaussian environments. In: IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP. 1996. p. 562–5.
Richmond, C. D. “Adaptive array processing in non-Gaussian environments.” IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP, 1996, pp. 562–65.
Richmond CD. Adaptive array processing in non-Gaussian environments. IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP. 1996. p. 562–565.
Published In
IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Publication Date
January 1, 1996
Start / End Page
562 / 565