Title : 
Distributed detection for diversity reception of fading signals in noise
         
        
        
            Author_Institution : 
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
         
        
        
        
        
            fDate : 
1/1/1999 12:00:00 AM
         
        
        
        
            Abstract : 
A multiple-antenna diversity scheme is investigated for digital communications. Antenna observations are immediately quantized and sent to a fusion center. At the fusion center, the quantized observations are combined to form a final decision on which symbol was transmitted. The optimum reception scheme is described for the case where frequency-shift keying is employed and where slow Rayleigh fading and Gaussian additive noise are present. Two cases are studied. In the first case, an accurate estimate of the signal-to-noise ratio is available at each receiver. In the second case, estimates are not available. Results indicate that two- or three-bit quantizations may be most appropriate. Further, if binary decisions are made at each antenna, the performance may not improve if an estimate of the signal-to-noise ratio is available at each antenna or if two antennas are used instead of one
         
        
            Keywords : 
Gaussian noise; Rayleigh channels; digital communication; diversity reception; frequency shift keying; multipath channels; optimisation; quantisation (signal); sensor fusion; signal detection; Gaussian additive noise; SNR estimation; antenna observations; binary decisions; digital communications; distributed detection; diversity reception; fading signals; frequency-shift keying; fusion center; multipath fading; multiple-antenna diversity; optimum reception scheme; performance; quantized observations; receiver; signal-to-noise ratio; slow Rayleigh fading; Additive noise; Digital communication; Diversity reception; Fading; Frequency shift keying; Quantization; Rayleigh channels; Receiving antennas; Signal to noise ratio; System performance;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on