H04B7/005

Method and system for estimating a transmission direction of a transmitter

The present disclosure relates to a method of estimating a transmission direction of a transmitter. The method comprises: performing a first measurement by means of a measurement system, thereby obtaining a first measurement value of a first transmitter; performing a second measurement by means of the measurement system, thereby obtaining a second measurement value of a second transmitter; obtaining position information of the first transmitter and the second transmitter; determining a position of the measurement system; and taking the first measurement value, the second measurement value, the position information as well as the position of the measurement system into account in order to estimate the transmission direction of the first transmitter. In addition, a system for estimating a transmission direction of a transmitter is described.

Method and system for estimating a transmission direction of a transmitter

The present disclosure relates to a method of estimating a transmission direction of a transmitter. The method comprises: performing a first measurement by means of a measurement system, thereby obtaining a first measurement value of a first transmitter; performing a second measurement by means of the measurement system, thereby obtaining a second measurement value of a second transmitter; obtaining position information of the first transmitter and the second transmitter; determining a position of the measurement system; and taking the first measurement value, the second measurement value, the position information as well as the position of the measurement system into account in order to estimate the transmission direction of the first transmitter. In addition, a system for estimating a transmission direction of a transmitter is described.

TERMINAL APPARATUS AND BASE STATION APPARATUS
20220014235 · 2022-01-13 ·

In a case of configuring multiple configured grants, signal detection in a base station apparatus is efficiently performed. For configured grant scheduling, by configuring a plurality of time offset values, multiple transmission opportunities are generated. To each of the transmission opportunities, a slot retransmission is applied. In a case that multiple transmission patterns are generated due to the plurality of time offsets, transmission is performed by using a transmission pattern, among the multiple transmission patterns, that causes the number of remaining retransmissions to increase.

TERMINAL APPARATUS AND BASE STATION APPARATUS
20220014235 · 2022-01-13 ·

In a case of configuring multiple configured grants, signal detection in a base station apparatus is efficiently performed. For configured grant scheduling, by configuring a plurality of time offset values, multiple transmission opportunities are generated. To each of the transmission opportunities, a slot retransmission is applied. In a case that multiple transmission patterns are generated due to the plurality of time offsets, transmission is performed by using a transmission pattern, among the multiple transmission patterns, that causes the number of remaining retransmissions to increase.

Integrated circuit for scalable beamforming and frequency channelization

A general-purpose integrated circuit capable of scaling to meet the requirements of a beamforming system for a wide range of applications and benefit from economies of scale is disclosed. The integrated circuit includes a delay and phase correcting engine in order to reference the incoming data to a common array center and steering direction. It also includes a frequency channelization engine to perform phase-shift beamforming tasks effectively and/or frequency channelize the output data stream. A flexible reconfigurable routing logic can be included, which allows a multiplicity of operation modes, and generates a multiplicity of linear combinations of the input and internally generated data streams.

Integrated circuit for scalable beamforming and frequency channelization

A general-purpose integrated circuit capable of scaling to meet the requirements of a beamforming system for a wide range of applications and benefit from economies of scale is disclosed. The integrated circuit includes a delay and phase correcting engine in order to reference the incoming data to a common array center and steering direction. It also includes a frequency channelization engine to perform phase-shift beamforming tasks effectively and/or frequency channelize the output data stream. A flexible reconfigurable routing logic can be included, which allows a multiplicity of operation modes, and generates a multiplicity of linear combinations of the input and internally generated data streams.

Application of machine learning to MUOS network management
11750277 · 2023-09-05 · ·

A system for satellite communication is disclosed. The system includes a base terminal and a mobile terminal configured to communicate via a communication satellite relay. The base terminal and the mobile terminal include a receiver and a transmitter. At least one of the base terminal or the mobile terminal further includes an artificial intelligence engine configured to receive status or instruction data based on a received signal, determine an instruction or command based on the received data, prepare instruction data or updated status data, and send an instruction signal or status signal based on the instruction data or updated status data. The artificial intelligence engine utilizes a machine learning model and may generate the machine learning model.

Application of machine learning to MUOS network management
11750277 · 2023-09-05 · ·

A system for satellite communication is disclosed. The system includes a base terminal and a mobile terminal configured to communicate via a communication satellite relay. The base terminal and the mobile terminal include a receiver and a transmitter. At least one of the base terminal or the mobile terminal further includes an artificial intelligence engine configured to receive status or instruction data based on a received signal, determine an instruction or command based on the received data, prepare instruction data or updated status data, and send an instruction signal or status signal based on the instruction data or updated status data. The artificial intelligence engine utilizes a machine learning model and may generate the machine learning model.

Wireless communication system, wireless communication method, transmitting station device and receiving station device

A transmitting station apparatus includes a training signal generation unit, a transmission end linear equalization unit configured to equalize data signals by a transmission end transfer function, and a transmitting station communication unit configured to transmit a training signal or a plurality of data signals and receive information of the transmission end transfer function from a receiving station apparatus. The receiving station apparatus includes a communication path estimation unit configured to estimate a communication path response from the training signal, a reception end coefficient calculation unit configured to calculate the transmission end transfer function with an adjugate matrix of a transfer function matrix H of the communication path response as a transfer function and a reception end transfer function with an inverse of a determinant of the transfer function matrix H as a transfer function, and a reception end linear equalization unit configured to equalize reception signals by using the reception end transfer function. The reception end linear equalization unit determines whether the determinant of the transfer function matrix H is a minimum phase, performs a forward direction equalization in a case of the minimum phase, and performs an inverse direction equalization in a case of a non-minimum phase.

Wireless communication system, wireless communication method, transmitting station device and receiving station device

A transmitting station apparatus includes a training signal generation unit, a transmission end linear equalization unit configured to equalize data signals by a transmission end transfer function, and a transmitting station communication unit configured to transmit a training signal or a plurality of data signals and receive information of the transmission end transfer function from a receiving station apparatus. The receiving station apparatus includes a communication path estimation unit configured to estimate a communication path response from the training signal, a reception end coefficient calculation unit configured to calculate the transmission end transfer function with an adjugate matrix of a transfer function matrix H of the communication path response as a transfer function and a reception end transfer function with an inverse of a determinant of the transfer function matrix H as a transfer function, and a reception end linear equalization unit configured to equalize reception signals by using the reception end transfer function. The reception end linear equalization unit determines whether the determinant of the transfer function matrix H is a minimum phase, performs a forward direction equalization in a case of the minimum phase, and performs an inverse direction equalization in a case of a non-minimum phase.