TY - GEN

T1 - Optimal detection of non-Gaussian random signals in Gaussian noise

AU - Kletter, Doron

AU - Schultheiss, Peter M.

AU - Messer, Hagit

PY - 1991

Y1 - 1991

N2 - A method of detecting arbitrary random signals in the presence of additive Gaussian noise is discussed. The method is based on eigendecomposition of the noise probability subspace. This decomposition leads to unique detector structure, invariant with respect to the signal distribution. The resulting detection scheme uses a variable number of terms per decision, but any decision made is exactly the same as the one produced by the optimal detector. The scheme is found to be computationally efficient, and well suited for generalization to the case of unknown (or only partially known) statistics. The efficiency of the algorithm is demonstrated in a typical example, with the aid of computer simulations.

AB - A method of detecting arbitrary random signals in the presence of additive Gaussian noise is discussed. The method is based on eigendecomposition of the noise probability subspace. This decomposition leads to unique detector structure, invariant with respect to the signal distribution. The resulting detection scheme uses a variable number of terms per decision, but any decision made is exactly the same as the one produced by the optimal detector. The scheme is found to be computationally efficient, and well suited for generalization to the case of unknown (or only partially known) statistics. The efficiency of the algorithm is demonstrated in a typical example, with the aid of computer simulations.

UR - http://www.scopus.com/inward/record.url?scp=0026382599&partnerID=8YFLogxK

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AN - SCOPUS:0026382599

SN - 078030033

T3 - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SP - 1305

EP - 1308

BT - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

A2 - Anon, null

PB - Publ by IEEE

Y2 - 14 May 1991 through 17 May 1991

ER -