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In this paper, we propose an effective possibility density functions method of channel estimation with Viterbi algorithm based on transitions. We also investigate the performance of the electronic dispersion compensation schemes via this new channel estimation method. The schemes Simulation results show that it exhibits the similar performance with the sophisticated MLSE scheme.
In this paper, we propose a Fast Fourier Transform(FFT) -based channel estimation algorithm for maximum-likelihood sequence estimation(MLSE) compensa-tion in optical fiber communication system, which is more effective than the conventional algorithm based on probability density function(PDF) algorithm and has well simulation results.
Adaptive blind channel identification and equalization methods of two types MIMO-OFDM systems based on subspace are discussed. The proposed method employs reduced-rank orthogonal iteration to estimate noise subspace with low computational complexity. Oversampling autocorrelation matrix is applied to obtain redundant information, when the number of transmit antenna is greater than that of receive antenna...
Blind channel identification and equalization methods of oversampled MIMO-OFDM systems based on subspace are discussed. The proposed method employs reduced-rank orthogonal iteration to estimate noise subspace with low computational complexity. When the number of transmit antenna is greater than that of receive antenna of MIMO-OFDM system, oversampled method is used to obtain enough information for...
Blind channel identification and equalization methods of oversampled MIMO-OFDM systems based on subspace are discussed. The proposed method employs reduced-rank orthogonal iteration to estimate noise subspace with low computational complexity. When the number of transmit antenna is greater than that of receive antenna of MIMO-OFDM system, oversampled method is used to obtain enough information for...
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