In this work we consider the problem of M-ary signal detection over a Single-Input-Multiple-Output Channel affected by time- and/or frequency-dispersive Rayleigh-distributed fading and in the presence of non-Gaussian noise, modeled as a Spherically Invariant Random Process (SIRP). We derive the optimum (minimum error-probability) detector, and show that its structure is canonical, i.e. it is independent of the actual noise statistics. Finally, the performance analysis of the receiver highlights that the adoption of diversity represents a suitable means to restore performance also in the presence of dispersive fading and impulsive non-Gaussian noise.
Minimum error-probability diversity detection over fading dispersive channels with non-Gaussian noise / Buzzi, S.; Conte, Ernesto; DE MAIO, Antonio; Lops, M.. - ELETTRONICO. - 1:(2000), pp. 281-284. ( IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Istanbul 2000) [10.1109/ICASSP.2000.861944].
Minimum error-probability diversity detection over fading dispersive channels with non-Gaussian noise
CONTE, ERNESTO;DE MAIO, ANTONIO;M. Lops
2000
Abstract
In this work we consider the problem of M-ary signal detection over a Single-Input-Multiple-Output Channel affected by time- and/or frequency-dispersive Rayleigh-distributed fading and in the presence of non-Gaussian noise, modeled as a Spherically Invariant Random Process (SIRP). We derive the optimum (minimum error-probability) detector, and show that its structure is canonical, i.e. it is independent of the actual noise statistics. Finally, the performance analysis of the receiver highlights that the adoption of diversity represents a suitable means to restore performance also in the presence of dispersive fading and impulsive non-Gaussian noise.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
