摘要:
During reception of a training signal b(n) in a received signal R (n) an estimated impulse response H m (n) of an M-channel channel, and a tap coefficient G (n) of a linear filter (111) are calculated by an adaptive algorithm through the use of the received signal R (n) and the training signal b(n). For an information symbol of the received signal R (n), the received signal R (n) is subjected to linear filtering with the most recently calculated tap coefficients G (n), and the linear filtering output Z (n) and the most recently estimated impulse response value H m (n) are used to calculate a soft decision value λ 1 . In the second and subsequent rounds of equalization, the likelihood b'(n) of a soft decision value λ 2 [b(n)] from a decoder is calculated, and a replica are generated by linearly filtering the likelihood b'(n) with an estimated impulse response value vector H L (n) obtained by approximating intersymbol interference with the current code b(n) to zero. A difference signal R c (n) between the replica and the received signal is calculated, and the estimated impulse response value vector H L (n) is used to update the tap coefficients G (n). Then the signal Z (n) is obtained by linearly filtering the difference signal R c (n) with the updated tap coefficient G (n), and the signal Z (n) and the estimated impulse response value vector H L (n) are used to calculate the soft decision value λ 1 .
摘要:
An impluse response h mn (q) of each transmission path is estimated from N received signals r m (m=1, ···, M) and a known signal (for a number of users equal to N, n=1, ···, N). M×N matrix H (q) having h mn (q) as an element and a Q×Q matrix H having H (q) as an element are determined (where Q represents a number of multipaths of each transmitted wave and q=0, ···, Q-1). A soft decision value b' n (k) is determined from decoded λ 2 [b n (k)], and this is used to generate an interference component matrix B' (k) to generate an interference replica H·B' (k). The interference replica H·B' (k) is subtracted from a received matrix y (k) to determine y' (k). y (k) and H are used to determine an adaptive filter coefficient w n (k) to be applied to an n-th user in order to eliminate residual interference components in y' (k) according to the minimum mean square error criteria. y (k) is passed through w n (k) to provide a log-likelihood ratio as a received signal from the user n from which interferences are eliminated.
摘要:
An impluse response h mn (q) of each transmission path is estimated from N received signals r m (m=1, ···, M) and a known signal (for a number of users equal to N, n=1, ···, N). M×N matrix H (q) having h mn (q) as an element and a Q×Q matrix H having H (q) as an element are determined (where Q represents a number of multipaths of each transmitted wave and q=0, ···, Q-1). A soft decision value b' n (k) is determined from decoded λ 2 [b n (k)], and this is used to generate an interference component matrix B' (k) to generate an interference replica H·B' (k). The interference replica H·B' (k) is subtracted from a received matrix y (k) to determine y' (k). y (k) and H are used to determine an adaptive filter coefficient w n (k) to be applied to an n-th user in order to eliminate residual interference components in y' (k) according to the minimum mean square error criteria. y (k) is passed through w n (k) to provide a log-likelihood ratio as a received signal from the user n from which interferences are eliminated.
摘要:
During reception of a training signal in a received signal R (n) an estimated impulse response value H m (n) of an M-channel channel, and a tap coefficient G (n) of a linear filter 111 is calculated by an adaptive algorithm through the use of the received signal R (n) and the training signal b(n). For an information symbol of the received signal R (n), the received signal R (n) is subjected to linear filtering with the most recently calculated tap coefficient G (n), and the linear filtering output Z (n) and the most recently estimated impulse response value H m (n) are used to calculate a soft decision value λ 1 . In the second and subsequent rounds of equalization, the likelihood b'(n) of a soft decision value λ 2 [b(n)] from a decoder is calculated, and a replica is generated by linear-filtering the likelihood b'(n) with an estimated impulse response value vector H L (n) obtained by approximating intersymbol interference with the current code b(n) to zero. A difference signal R c (n) between the replica and the received signal is calculated, and the estimated impulse response value vector H L (n) is used to update the tap coefficient G (n). Then the signal Z (n) is obtained by linear-filtering the difference signal R c (n) with the updated tap coefficient G (n), and the signal Z (n) and the estimated impulse response value vector H L (n) are used to calculate the soft decision value λ 1 .
摘要:
Outputs from respective elements of an array antenna 21 are demodulated, and the demodulated outputs are stored in storage means 29. The demodulated outputs are multiplied by tap coefficients of adaptive array antenna, then the multiplied outputs are combined by combining means 28, and the combined output is provided via a feed forward filter 22 to an adaptive equalizer 23, wherein it is equalized to obtain a decision symbol. During reception of a training signal the tap coefficients of adaptive array antenna and tap coefficients of the adaptive equalizer 23 are subjected to convergence processing by tap coefficient calculating means 24 so that an error signal becomes small, and then tap coefficients of the feed forward filter 22 and the adaptive equalizer 23 are subjected to convergence processing by tap coefficient calculating means 25 so that an error signal becomes small. Thereafter, the convergence processing by the means 24 and 25 is repeated, during which a training signal stored in storage means 29 is used, results of the immediately preceding convergence processing are used as initial values, and it is decided by receiving quality estimating means 26 whether the error signal has become sufficiently small relative to the received signal power.
摘要:
Outputs from respective elements of an array antenna 21 are demodulated, and the demodulated outputs are stored in storage means 29. The demodulated outputs are multiplied by tap coefficients of adaptive array antenna, then the multiplied outputs are combined by combining means 28, and the combined output is provided via a feed forward filter 22 to an adaptive equalizer 23, wherein it is equalized to obtain a decision symbol. During reception of a training signal the tap coefficients of adaptive array antenna and tap coefficients of the adaptive equalizer 23 are subjected to convergence processing by tap coefficient calculating means 24 so that an error signal becomes small, and then tap coefficients of the feed forward filter 22 and the adaptive equalizer 23 are subjected to convergence processing by tap coefficient calculating means 25 so that an error signal becomes small. Thereafter, the convergence processing by the means 24 and 25 is repeated, during which a training signal stored in storage means 29 is used, results of the immediately preceding convergence processing are used as initial values, and it is decided by receiving quality estimating means 26 whether the error signal has become sufficiently small relative to the received signal power.