Abstract

Multiple-receiver digital wireless communication systems employ several receivers and a digital central receiver with data fusion to reduce the effect of multipath fading problems. The multiple receiver observations are processed at individual receivers and sent to a digital central receiver. The digital central receiver fuses all the individual receiver data to form global data on which symbol was transmitted. In this study, an efficient course resolution multiple-receiver approach for reception of slow fading signals in digital wireless communication systems is proposed. Each individual receiver observation is represented by course resolution data rather than high resolution data. The proposed approach is investigated for the case of no coherent frequency-shift keying in slow Rayleigh fading and additive Gaussian noise. The performance of the proposed approach is evaluated and compared to that of the optimum low resolution and high resolution approaches. Simulation results indicate that the proposed course resolution approach is efficient and cost effective. The results also indicate that the proposed approach can be used instead of high resolution approach without noticeable performance degradation which highly simplifies the construction and design of the digital wireless communication systems.

Highlights

  • The purpose of this paper is to introduce a simple, cost effective and efficient course resolution multiplereceiver approach

  • The performance of the proposed soft approach is compared to the performance of the course resolution with quality information approach presented in (Thomopoulos et al, 1987) where the local receivers send one or more quality bit information in addition to the individual receiver binary decisions ((Thomopoulos et al, 1987) for the details)

  • An efficient course resolution multiple-receiver approach for reception of slow fading signals in digital wireless communication systems has been proposed

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Summary

Introduction

The two main steps for developing the proposed course resolution multiplereceiver approach are (1) obtaining the individual receiver likelihood ratios and (2) deriving the combining fusion rule of the digital central receiver.

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