Signal detector, carrier phase retrieval apparatus, carrier phase retrieval method and carrier phase retrieval program
An interference component generated because a plurality of carrier generation units and a plurality of local oscillation units are asynchronous is used as state information, a predetermined state equation for calculating posterior state information on the basis of prior state information, and a transmission data sequence are used as observation information, a Kalman filter algorithm is applied to a predetermined observation equation for calculating the observation information in a state indicated by the posterior state information on the basis of the posterior state information calculated by the state equation, a reception data sequence, and a weight matrix to calculate a posterior state estimate of the interference component, and an estimated sequence of the transmission data sequence from which the interference component has been removed is calculated on the basis of the calculated posterior state estimate.
1. A signal detection device included in a reception device in a communication system including: a transmission device including a plurality of transmitters that modulate carriers output by carrier generators included in the transmitters on the basis of transmission data sequences provided to the transmitters to generate transmission signals, and transmit the generated transmission signals to a transmission line for transmitting a plurality of signals; and the reception device including a plurality of receptors that receive the plurality of signals transmitted through the transmission line and demodulate the received reception signals on the basis of local oscillation signals output by local oscillators included in the receptors to generate reception data sequences, the signal detection device comprising:
a weight matrix calculator configured to calculate a weight matrix used at a time of performing MIMO linear reception on the reception data sequences; and
a carrier phase recoverer configured to apply a Kalman filter algorithm to a predetermined state equation and a predetermined observation equation to calculate a posterior state estimate of an interference component, and based on a calculated the posterior state estimate, calculates an estimated sequences of the transmission data sequences with the interference component removed,
wherein the predetermined state equation is an equation that calculates posterior state information on a basis of prior state information, state information being the interference component generated because the plurality of carrier generators and the plurality of local oscillators are asynchronous,
wherein the predetermined observation equation is an equation that calculates an observation information in a state indicated by the posterior state information on the basis of the posterior state information calculated by the state equation, the reception data sequences, and the weight matrix, the observation information being transmission data sequences.
2. The signal detection device according to claim 1 ,
wherein the interference component is a component including a first phase noise component caused by phase fluctuations of the plurality of carrier generators and a second phase noise component caused by phase fluctuations of the plurality of local oscillators.
3. The signal detection device according to claim 2 ,
wherein the interference component is a component including a first frequency offset component caused by frequency fluctuations of the plurality of carrier generators and a second frequency offset component caused by frequency fluctuations of the plurality of local oscillators in addition to the first phase noise component and the second phase noise component.
4. The signal detection device according to claim 1 ,
wherein, at the time of updating the posterior state estimation value of the interference component, the carrier phase recoverer calculates the posterior state estimate calculated on the basis of the observation information calculated on the basis of the observation equation and provisional determination values of the transmission data sequences obtained by provisionally determining the observation information, or calculates the posterior state estimate on the basis of a pilot symbol transmitted by the transmission device, and the observation information calculated on the basis of the observation equation.
5. A carrier phase recovery apparatus included in a communication system including: a transmission device including a plurality of transmitters that modulate carriers output by carrier generators included in the transmitters on the basis of transmission data sequences provided to the transmitter to generate transmission signals, and transmit the generated transmission signals to a transmission line for transmitting a plurality of signals; and the reception device including a plurality of receptors that receive the plurality of signals transmitted through the transmission line and demodulate the received reception signals on the basis of local oscillation signals output by local oscillators included in the receptors to generate reception data sequences, the carrier phase recovery apparatus comprising:
a first calculator configured to apply a Kalman filter algorithm to a predetermined state equation and a predetermined observation equation to calculate a posterior state estimate of an interference component, and based on a calculated the posterior state estimate, calculates an estimated sequences of the transmission data sequences with the interference component removed,
wherein the predetermined state equation is an equation that calculates posterior state information on a basis of prior state information, state information being the interference component generated because the plurality of carrier generators and the plurality of local oscillators are asynchronous,
wherein the predetermined observation equation is an equation that calculates an observation information in a state indicated by the posterior state information on the basis of the posterior state information calculated by the state equation, the reception data sequences, and a weight matrix used at a time of performing MIMO linear reception on the reception data sequences, to calculate a posterior state estimate of the interference component, the observation information being transmission data sequences,
a second calculator configured to calculate estimated sequences of the transmission data sequences from which the interference component has been removed on the basis of the calculated posterior state estimate.
6. A carrier phase recovery method performed by a reception device in a communication system including: a transmission device including a plurality of transmitters that modulate carriers output by carrier generators included in the transmitters on the basis of transmission data sequences provided to the transmitters to generate transmission signals, and transmit the generated transmission signals to a transmission line for transmitting a plurality of signals; and the reception device including a plurality of receptors that receive the plurality of signals transmitted through the transmission line and demodulate the received reception signals on the basis of local oscillation signals output by local oscillators included in the receptors to generate reception data sequences, the carrier phase recovery method comprising:
calculating a weight matrix used at a time of performing MIMO linear reception on the received data sequences;
appling a Kalman filter algorithm to a predetermined state equation and a predetermined observation equation to calculate a posterior state estimate of an interference component, and
calculating an estimated sequences of the transmission data sequences with the interference component removed based on a calculated the posterior state estimate,
wherein the predetermined state equation is an equation that calculates posterior state information on a basis of prior state information, state information being the interference component generated because the plurality of carrier generators and the plurality of local oscillators are asynchronous,
wherein the predetermined observation equation is an equation that calculates an observation information in a state indicated by the posterior state information on the basis of the posterior state information calculated by the state equation, the reception data sequences, and the weight matrix, the observation information being transmission data sequences.