Diversity detection in non-Gaussian noise employing the generalized approach to signal processing in noise with fading diversity channels

Vyacheslav Tuzlukov

doi:10.1117/12.883763

5 May 2011 Diversity detection in non-Gaussian noise employing the generalized approach to signal processing in noise with fading diversity channels

Vyacheslav Tuzlukov

Author Affiliations +

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 80501O (2011) https://doi.org/10.1117/12.883763
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

In this paper, we consider the problem of M-ary signal detection based on the generalized approach to signal processing (GASP) in noise over a single-input multiple-output (SIMO) channel affected by frequency-dispersive Rayleigh distributed fading and corrupted by additive non-Gaussian noise modeled as spherically invariant random process. We derive both the optimum generalized detector (GD) structure based on GASP and a suboptimal reduced-complexity GD applying the low energy coherence approach jointly with the GASP in noise. Both GD structures are independent of the actual noise statistics. We also carry out a performance analysis of both GDs and compare with the conventional receivers. The performance analysis is carried out with reference to the case that the channel is affected by a frequency-selective fading and for a binary frequency-shift keying (BFSK) signaling format. The results obtained through both a Chernoff-bounding technique and Monte Carlo simulations reveal that the adoption of diversity also represents a suitable means to restore performance in the presence of dispersive fading and impulsive non-Gaussian noise. It is also shown that the suboptimal GD incurs a limited loss with respect to the optimum GD and this loss is less in comparison with the conventional receiver.

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Vyacheslav Tuzlukov "Diversity detection in non-Gaussian noise employing the generalized approach to signal processing in noise with fading diversity channels", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501O (5 May 2011); https://doi.org/10.1117/12.883763

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KEYWORDS

Atrial fibrillation

Interference (communication)

Signal processing

Receivers

Signal detection

Monte Carlo methods

Sensors

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