Improving differential detection of MDPSK by noise prediction

TitleImproving differential detection of MDPSK by noise prediction
Publication TypeConference Paper
Year of Publication1998
AuthorsSchober, R., W. H. Gerstacker, and J. B. Huber
Conference NameGlobal Telecommunications Conference, 1998. GLOBECOM 98. The Bridge to Global Integration. IEEE
Pagination567 -572 vol.1
Keywordsadditive white Gaussian noise channel, AWGN channel, AWGN channels, computational complexity, decision rule, decision theory, decision variable, differential detection, differential phase shift keying, filter structures, filtering theory, FIR filters, flat fading channels, high performance, IIR filters, low computational complexity, M-ary differential phase-shift keying, MDPSK, noise prediction, noise reduction, nonlinear time-variant FIR filter, nonlinear time-variant IIR filter, optimum filter coefficients, prediction theory, prediction-error filter, Rayleigh channel, Rayleigh channels, Rician channel, Rician channels

A new technique is proposed to improve the performance of differential detection of MDPSK (M-ary differential phase-shift keying) significantly by reducing the noise in the decision variable by means of noise prediction. A nonlinear time-variant FIR or IIR structure is used for the prediction-error filter. For both filter structures the optimum filter coefficients are derived, assuming transmission over an additive white Gaussian noise (AWGN) channel. For the IIR structure a setting for the filter coefficient exists which yields a high performance for both AWGN and flat fading (Rayleigh and Rician) channels. Moreover, a simple decision rule is derived for the IIR structure which allows an implementation with very low computational complexity


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