Aspects of the subject disclosure may include, for example, obtaining data regarding interference detected in a received communication signal, and performing polarization adjusting for one or more orthogonally-polarized element pairs of an antenna system such that an impact of the interference on the antenna system is minimized. Other embodiments are disclosed.

A method and device for implementing an FPGA-based large-scale radio frequency interference array correlator are provided. The method includes: obtaining the number of channels of data of a radio frequency interference array, and performing average division; calculating the total correlation of data group and the total correlation between the data group and other data groups respectively through corresponding correlation calculation modules, and performing an accumulation calculation in an integration period to complete the total correlation operation of the radio frequency interference array. By means of grouping division and time division multiplexing, the FPGA resource is effectively utilized, and the calculation process of FPGA is simplified. The new method is suitable for the operation process of the system with high parallelism and high real-time requirements, and provides a high-efficiency solution for the real-time calculation of massive data of the large-scale radio frequency interference array.

In an embodiment, a cross-polarization interference compensation module is included in a receiver of a wireless communication system. The module includes first and second input lines configured to receive respective first and second down-converted digital polarized signals based on receipt of a wireless transmission. The module further includes first and second output lines electrically coupled to at least one modem. The module further includes a first complex finite impulse response (FIR) filter configured to receive the second down-converted digital polarized signal and generate a correction factor that cancels cross-polarization components in the first down-converted digital polarized signal. The module further includes a first filter coefficient engine in communication with the first complex FIR filter and configured to adapt the first complex FIR filter over time based on the first and second down-converted digital polarized signals.

The present invention concerns a method for determining a power of at least one crosspolar interferer in a frame received by a receiver comprising at least a first and a second receive antennas detecting a first and a second polarization, the frame being transmitted from a satellite transmitter comprising at least a first and a second transmit antennas, the first transmit antenna being used for transferring signal representative of the frames to the receiver on the first polarization, the second transmit antenna being used for transferring signal to another receiver using the same frequency and the second polarization. The method comprises the steps of: —obtaining the antenna gains between the satellite transmitter and the receiver, —estimating a value of the atmospheric attenuation between the satellite transmitter and the receiver, a crosspolar attenuation, the channels between the first and second transmit antennas and the receiver, —estimating the power of the at least one interferer from the obtained antennas gains and estimations.

[Object] A wireless communication system capable of detecting propagation path modification from the outside and compensating for degradation of quality of communication between transmission and reception with respect to the propagation path modification is provided. A wireless communication system includes a transmitter that transmits electromagnetic waves in which a polarization direction rotates according to a signal in which data is loaded on a carrier, and a receiver that receives the electromagnetic waves and demodulates the data, in which the transmitter imparts angle information indicating a polarization direction for transferring the data to the signal, and sets a rotation frequency of the polarization direction to a frequency lower than a frequency of the carrier, and the receiver changes a polarization direction of the received electromagnetic waves, based on the angle information transferred by the electromagnetic waves. The receiver can detect propagation path modification from the outside using the angle information of the polarization direction, and compensate for degradation in quality of communication between transmission and reception by changing the polarization direction of the received electromagnetic waves when the modification is detected.

An OAM reception apparatus (30) includes an OAM reception unit (34) and an interference compensation unit (35C) that are independent of each other. The OAM reception unit (34) and the interference compensation unit (35C) execute “OAM reception processing” and “interference compensation processing”, respectively, based on a plurality of vertical component signals and a plurality of horizontal component signals obtained by performing polarization separating and down-conversion on a plurality of reception radio signals received by a plurality of reception antenna elements (31-1 to 31-4).

A method and device for implementing an FPGA-based large-scale radio frequency interference array correlator are provided. The method includes: obtaining the number of channels of data of a radio frequency interference array, and performing average division; calculating the total correlation of data group and the total correlation between the data group and other data groups respectively through corresponding correlation calculation modules, and performing an accumulation calculation in an integration period to complete the total correlation operation of the radio frequency interference array. By means of grouping division and time division multiplexing, the FPGA resource is effectively utilized, and the calculation process of FPGA is simplified. The new method is suitable for the operation process of the system with high parallelism and high real-time requirements, and provides a high-efficiency solution for the real-time calculation of massive data of the large-scale radio frequency interference array.

The present disclosure relates to a data transmission apparatus and method using a polarized antenna in a wireless AV system, and a data reception apparatus and method. The present specification provides a method for performing polarization alignment for a downlink on the basis of reciprocity, a method for performing polarization alignment for an uplink, and a method for performing polarization alignment independently for each DMG antenna when one data transmission apparatus or one data reception apparatus uses multiple DMG antennas. Optimal MIMO performance can be guaranteed by aligning polarization between multiple antennas of the data transmission apparatus and the data reception apparatus in the wireless AV system, the polarization alignment for a downlink or an uplink may be selectively performed on the basis of reciprocity, and polarization distortion can be reduced through the independent polarization alignment between each DMG antenna.

Aspects of the subject disclosure may include, for example, obtaining data regarding interference detected in a received communication signal, and performing polarization adjusting for one or more orthogonally-polarized element pairs of an antenna system such that an impact of the interference on the antenna system is minimized. Other embodiments are disclosed.

An OAM reception apparatus (30) includes an OAM reception unit (34) and an interference compensation unit (35C) that are independent of each other. The OAM reception unit (34) and the interference compensation unit (35C) execute “OAM reception processing” and “interference compensation processing”, respectively, based on a plurality of vertical component signals and a plurality of horizontal component signals obtained by performing polarization separating and down-conversion on a plurality of reception radio signals received by a plurality of reception antenna elements (31-1 to 31-4).