Method and system for blind interference cancellation in a wireless communication systems

摘要

Aspects of the present invention include methods, systems, and computer-readable medium for canceling interference in wireless communication. The method includes receiving wireless CDMA communication signals using one or more antennas at least from a first entity via a first communication channel and a second entity via a second communication channel, determining a set of known characteristics associated with the first entity, the first set of characteristics comprising a first signal strength, a first synchronization information, and an first channel identification information, and determining an aggregate signal matrix based on signals received from at least the first entity and the second entity. The method further includes determining a covariance matrix associated with the aggregate signal value, determining a reference signal matrix based on the set of known characteristics, calculating an interference matrix by subtracting the reference signal matrix from the covariance matrix, and removing the interference estimation from the communication signals.

主权项

1. A system for canceling interference in wireless communication, the system comprising:
a non-transitory computer-readable storage device; and a processor in communication with the non-transitory computer-readable storage device, wherein the non-transitory computer-readable storage device has sets of instructions stored thereon which, when executed by the processor, cause the processor to: receive wireless code division multiple access (CDMA) communication signals using one or more antennas via a first communication channel and via a second communication channel, determine a set of known characteristics associated with communication signals from the first communication channel, the first set of characteristics comprising a first signal strength, a first synchronization information, and a first channel identification information, determine an aggregate signal matrix based on noise and communication signals received from the first communication channel and the second communication channel, determine a covariance matrix associated with an aggregate signal value, determine a reference signal matrix based on the set of known characteristics, calculate an interference matrix by subtracting the reference signal matrix from the covariance matrix, determine a maximum eigenvalue and an eigenvector corresponding to the maximum eigenvalue for the interference matrix, generate an interference estimation using the maximum eigenvalue and the eigenvector, and remove the interference estimation from the communication signals.