Invention Application
WO2014075212A1 METHOD, SYSTEM AND COMPUTER-READABLE MEDIUM FOR BLIND INTERFERENCE CANCELLATION IN WIRELESS COMMUNICATION SYSTEM
审中-公开
无线通信系统中盲干扰消除的方法,系统和计算机可读介质
- Patent Title: METHOD, SYSTEM AND COMPUTER-READABLE MEDIUM FOR BLIND INTERFERENCE CANCELLATION IN WIRELESS COMMUNICATION SYSTEM
- Patent Title (中): 无线通信系统中盲干扰消除的方法,系统和计算机可读介质
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Application No.: PCT/CN2012/084511Application Date: 2012-11-13
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Publication No.: WO2014075212A1Publication Date: 2014-05-22
- Inventor: XU, Weiping , WAN, Feng , XU, Liang , LI, Yuan , ZOU, Qiuzhen
- Applicant: SHANGHAI MOBILEPEAK SEMICONDUCTOR CO., LTD.
- Applicant Address: Workshop No.11 No. 451 at Yuanzhong Rd. Nanhui Industry Park, Pudong New Area Shanghai 201399 CN
- Assignee: SHANGHAI MOBILEPEAK SEMICONDUCTOR CO., LTD.
- Current Assignee: SHANGHAI MOBILEPEAK SEMICONDUCTOR CO., LTD.
- Current Assignee Address: Workshop No.11 No. 451 at Yuanzhong Rd. Nanhui Industry Park, Pudong New Area Shanghai 201399 CN
- Agency: UNITALEN ATTORNEYS AT LAW
- Main IPC: H04B15/00
- IPC: H04B15/00
Abstract:
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.
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