Abstract
Conventional approaches to array processing for the estimation of direction of arrival of incident radiation, or source location, rely on second order statistics of received signals. These range from bcamformer techniques, to maximum likelihood methods, maximum entropy methods, to eigenvector based tools. The methods either involve an apriori model of the background noise or require an estimation of the noise, and are usually predicated on Gaussian statistics.
Current developments in the use of higher order statistics offer additional insights into the processing of non-Gaussian signals. Amongst others, these include: separation of nonGaussian signals from additive Gaussian noise; separation of statistically independent sources; improved estimation of signal parameters.
This paper includes algorithms for array processing, based on the minimisation of Bispectral power, which allow interference rejection and directional signal enhancement in the presence of sensor noise.
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© 1993 Springer Science+Business Media Dordrecht
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Durrani, T.S. (1993). Array Processing Using Higher Order Statistics. In: Moura, J.M.F., Lourtie, I.M.G. (eds) Acoustic Signal Processing for Ocean Exploration. NATO ASI Series, vol 388. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1604-6_20
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DOI: https://doi.org/10.1007/978-94-011-1604-6_20
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