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 method for canceling interference in wireless communication, the method comprising:
receiving wireless code division multiple access (CDMA) communication signals using one or more antennas via a first communication channel via a second communication channel; determining 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 an first channel identification information; determining an aggregate signal matrix based on noise and communication signals received from the communication channel and the second communication channel; 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; determining a maximum eigenvalue and an eigenvector corresponding to the maximum eigenvalue for with the interference matrix; generating an interference estimation using the maximum eigenvalue and the eigenvector; and removing the interference estimation from the communication signals.