Title :
Fuzzy stochastic gradient decision feedback equalizer for VSB terrestrial HDTV broadcasting
Author :
Hu, Xiao-Yu ; Yu, Xiao-Hu
Author_Institution :
Nat. Commun. Res. Lab., Southeast Univ., China
fDate :
3/1/1997 12:00:00 AM
Abstract :
We present a fuzzy stochastic gradient (FSG) decision feedback equalizer (DFE) for VSB terrestrial HDTV broadcasting. This equalizer employs a well-designed fuzzy Takagi-Sugeno (1985) model to automatically regulate the step size of the descent gradient vector, combining a fast convergence rate and a low excess mean square error (MSE). The only penalty paid is a slight increase in the computational complexity compared with the LMS algorithm. Simulation results show that this equalizer provides 3.5 dB signal-to-noise ratio (SNR) improvement at a BER of 3.0×10-6 with respect to the conventional LMS DFE recommended by the Grand Alliance
Keywords :
adaptive equalisers; convergence of numerical methods; decision feedback equalisers; fuzzy systems; high definition television; least mean squares methods; stochastic systems; television broadcasting; BER; Grand Alliance; LMS DFE; LMS algorithm; MSE; SNR improvement; VSB terrestrial HDTV broadcasting; automatic step size regulation; computational complexity; descent gradient vector; fast convergence rate; fuzzy Takagi-Sugeno model; fuzzy stochastic gradient decision feedback equalizer; low excess mean square error; performance evaluation; signal-to-noise ratio; simulation results; Broadcasting; Computational complexity; Computational modeling; Decision feedback equalizers; HDTV; Least squares approximation; Mean square error methods; Signal to noise ratio; Stochastic processes; Takagi-Sugeno model;
Journal_Title :
Broadcasting, IEEE Transactions on
