A HF receiver for data transmission based on Kalman filter and channelestimator is proposed.The simulation results show that the performance of the proposedscheme is about 2 dB better than that of Decision-Feedback Eq...A HF receiver for data transmission based on Kalman filter and channelestimator is proposed.The simulation results show that the performance of the proposedscheme is about 2 dB better than that of Decision-Feedback Equalizer based onSquare-Root Kalman Algorithm(SRKA/DFE)and its computational complexity islower than that of Maximum Likelihood Sequence Estimation(MLSE).展开更多
A pair of multichannel recursive least squares (RLS) adaptive lattice algorithms based on the order recursive of lattice filters and the superior numerical properties of Givens algorithms is derived in this paper. The...A pair of multichannel recursive least squares (RLS) adaptive lattice algorithms based on the order recursive of lattice filters and the superior numerical properties of Givens algorithms is derived in this paper. The derivation of the first algorithm is based on QR decomposition of the input data matrix directly, and the Givens rotations approach is used to compute the QR decomposition. Using first a prerotation of the input data matrix and then a repetition of the single channel Givens lattice algorithm, the second algorithm can be obtained. Both algorithms have superior numerical properties, particularly the robustness to wordlength limitations. The parameter vector to be estimated can be extracted directly from internal variables in the present algorithms without a backsolve operation with an extra triangular array. The results of computer simulation of the parameter identification of a two-channel system are presented to confirm efficiently the derivation.展开更多
文摘A HF receiver for data transmission based on Kalman filter and channelestimator is proposed.The simulation results show that the performance of the proposedscheme is about 2 dB better than that of Decision-Feedback Equalizer based onSquare-Root Kalman Algorithm(SRKA/DFE)and its computational complexity islower than that of Maximum Likelihood Sequence Estimation(MLSE).
基金Foundation of the Academy of Electronic Science,China
文摘A pair of multichannel recursive least squares (RLS) adaptive lattice algorithms based on the order recursive of lattice filters and the superior numerical properties of Givens algorithms is derived in this paper. The derivation of the first algorithm is based on QR decomposition of the input data matrix directly, and the Givens rotations approach is used to compute the QR decomposition. Using first a prerotation of the input data matrix and then a repetition of the single channel Givens lattice algorithm, the second algorithm can be obtained. Both algorithms have superior numerical properties, particularly the robustness to wordlength limitations. The parameter vector to be estimated can be extracted directly from internal variables in the present algorithms without a backsolve operation with an extra triangular array. The results of computer simulation of the parameter identification of a two-channel system are presented to confirm efficiently the derivation.
