Invention Grant
US06839326B1 Antenna phase estimation algorithm for WCDMA closed loop transmitter antenna diversity system
失效
WCDMA闭环发射机天线分集系统的天线相位估计算法
- Patent Title: Antenna phase estimation algorithm for WCDMA closed loop transmitter antenna diversity system
- Patent Title (中): WCDMA闭环发射机天线分集系统的天线相位估计算法
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Application No.: US09669746Application Date: 2000-09-26
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Publication No.: US06839326B1Publication Date: 2005-01-04
- Inventor: Kari Pajukoski , Ilkka Keskitalo , Erkki Autio , Pasi Kinnunen
- Applicant: Kari Pajukoski , Ilkka Keskitalo , Erkki Autio , Pasi Kinnunen
- Applicant Address: FI Espoo
- Assignee: Nokia Corporation
- Current Assignee: Nokia Corporation
- Current Assignee Address: FI Espoo
- Agency: Harrington & Smith, LLP
- Main IPC: H04B7/06
- IPC: H04B7/06 ; H04B7/08 ; H04B7/26 ; H04L25/02 ; G01R31/08 ; H04B7/216 ; H04Q7/00

Abstract:
This invention teaches a method for use in a wideband CDMA telecommunications system wherein the base station (BS) utilizes transmit antenna diversity. The method enables the user equipment (UE) to perform a channel estimate for channels received from two antennas of the base station (BS), and includes steps of: (a) computing an estimated phase difference between a common pilot channel and a dedicated pilot channel received from one antenna of the two antennas; and (b) determining the channel estimate by rotating a common pilot channel estimate according to the estimated phase difference, where the phase difference is computed as a complex coefficient between the common pilot channel and the dedicated pilot channel. In a second aspect this invention teaches a method for use in a transmit antenna diversity system for enabling the UE to verify an antenna phase shift previously signaled by the UE to the BS. This method includes a first step of: (a) exploiting prior knowledge of BS rotation angle by considering a vector x that includes all hypotheses for complex rotation coefficients of the BS with respect to all possible rotation angles, in accordance with a decision rule for an estimation of a complex rotation coefficient. A second step of the method evaluates a cost function of a hypothesis m by considering the prior knowledge.
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