Shanghai Mobilepeak Semiconductor Co., Ltd.

Spreadtrum Communications (shanghai) Co., Ltd.

Weiping Xu

Yuan Wx Li

Feng Wan

Liang Jie Xu

Yuan Li

Qiuzhen Zou

Liang Xu

Dynamically scheduling multi-receive-path signal equalizer tasks. An estimated maximum Doppler frequency and an estimated delay spread of a particular wireless communications channel may be determined at a particular time. A particular task queue format and a particular predictor model order update period may be identified based on the estimated maximum Doppler frequency and delay spread. A particular predictor model order update rate may be selected based on the identified particular equalizer task queue format. A plurality of task control signals may be generated based on the particular task queue format, the particular predictor model order-update period, and the particular predictor model order-search range, to control equalizer coefficient generation within a particular time period.

Dynamic task scheduling for multi-receive-path equalizer

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.

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

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Shanghai, China

Weiping Xu