摘要:
Adaptive reconfiguration of a wireless receiver is enabled based on channel geometry According to an embodiment, the wireless receiver includes a geometry factor processing module and signal processing modules, e.g. such as hut not limited to an SIR estimation module, a power estimation module, a despreading module, a low- pass filter, a combing weight generation module, a coefficient estimation module, a synchronization control channel interference canceller module, etc. The geometry factor processing module determines a geometry factor for the channel over which signals are transmitted to the wireless receiver, the geometry factor being a measure of the ratio of total transmitted power received by the wireless receiver to total interference plus noise power at the wireless receiver. One or more of the receiver signal, processing modules are reconfigurable based on the geometry factor.
摘要:
Methods and apparatus for determining an impairment covariance matrix for use in an interference-suppressing CDMA receiver are disclosed. In several of the disclosed embodiments, precise information regarding signal propagation delays is not needed. An exemplary method includes the selection of a plurality of processing delays for processing a received CDMA signal. Net channel coefficients for the processing delays are estimated and used to calculate an impairment covariance matrix. The impairment covariance matrix is calculated as a function of the estimated net channel coefficients and the processing delays, without estimating a propagation medium channel response for the received signal.
摘要:
Methods and apparatus for estimating code-reuse interference associated with a multi- stream multiple-input multiple-output (MIMO) signal are disclosed. An estimate for the data-to- pilot power ratio is obtained as a by-product of parametric estimation of impairment covariance associated with the received MIMO signal. In an exemplary method, a parametric impairment model is constructed (510) for a received MIMO signal, the parametric model omitting code- reuse interference. Impairment covariance is measured (520), using received pilot symbol data. The parametric impairment model is fitted (530) to the measured impairment covariance to obtain one or more scaling parameter values. A per-code energy value for a first data stream is then calculated from the one or more scaling parameter values. In some embodiments, the data-to-pilot power ratio for the received signal is first calculated (540) from the one or more scaling parameters, and the per-code energy value calculated (550) from the data-to-pilot power ratio.
摘要:
Exemplary combining weight generation is based on estimating received signal impairment correlations using a weighted summation of interference impairment terms, such as an interference correlation matrix associated with a transmitting base station, and a noise impairment term, such as a noise correlation matrix, the impairment terms scaled by fitting parameters. The estimate is updated based on adapting the fitting parameters responsive to measured signal impairment correlations. The interference matrices are calculated from channel estimates and delay information, and knowledge of the receive filter pulse shape. Instantaneous values of the fitting parameters are determined by fitting the impairment correlation terms to impairment correlations measured at successive time instants and the fitting parameters are adapted at each time instant by updating the fitting parameters based on the instantaneous values.
摘要:
Methods and apparatus for estimating code-reuse interference associated with a multi- stream multiple-input multiple-output (MIMO) signal are disclosed. An estimate for the data-to- pilot power ratio is obtained as a by-product of parametric estimation of impairment covariance associated with the received MIMO signal. In an exemplary method, a parametric impairment model is constructed (510) for a received MIMO signal, the parametric model omitting code- reuse interference. Impairment covariance is measured (520), using received pilot symbol data. The parametric impairment model is fitted (530) to the measured impairment covariance to obtain one or more scaling parameter values. A per-code energy value for a first data stream is then calculated from the one or more scaling parameter values. In some embodiments, the data-to-pilot power ratio for the received signal is first calculated (540) from the one or more scaling parameters, and the per-code energy value calculated (550) from the data-to-pilot power ratio.