Abstract:
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.
Abstract:
Methods and apparatus for providing automatic gain control (AGC) for received multi-carrier signals are disclosed. A receiver circuit comprises a common analog signal path, which includes an analog variable-gain circuit and an analog-to-digital converter, and further comprises first and second carrier-specific, digital variable-gain circuits corresponding to first and second carriers of the received multi-carrier signal, respectively. The receiver circuit further includes a gain control circuit configured to control the analog and digital variable-gain circuits and to allot gain adjustments to the analog variable-gain circuit based on a difference between carrier signal levels for the first and second carriers. In some embodiments, the gain control circuit selectively operates in an all-carrier mode, in which analog gain adjustments are calculated from both of the carrier signal levels, or in an unequal-priority mode, in which analog gain adjustments are calculated from only one of the first and second carrier signal levels.
Abstract:
A set of channelization codes to be monitored is divided into two groups. The first group includes those codes for which an associated symbol modulation and transmit-diversity scheme is known. In the second group are those codes that are characterized by an unknown symbol modulation or unknown transmit-diversity scheme. The quality of the transmission of each code is then evaluated, using a metric. The metric in turn is used to determine whether the code should be used in estimating the covariance matrix by correlating the RAKE data corresponding to the code (i.e., by computing a correlation matrix for the code) or by first subtracting the channel estimates from the channel samples before correlation (i.e., by computing a covariance matrix for the code). An impairment covariance matrix is computed from the covariance matrices and correlation matrices so computed.
Abstract:
A method and a device for channel response determination for a wireless communication system. The method comprises generating a first vector of channel responses from channel estimations obtained by using a training signal. A second vector of regularized channel responses is generated by applying to the first vector a regularization algorithm. The algorithm is operative such that a second difference between consecutive regularized channel responses of the second vector is less than a first difference between consecutive channel responses of the first vector.
Abstract:
The computation of code-specific channel matrices for an Assisted Maximum Likelihood Detection (AMLD) receiver comprises separately computing high rate matrices that change each symbol period, and a low rate matrix that is substantially constant over a plurality of symbol periods. The high and low rate matrices are combined to generate a code-specific channel matrix for each receiver stage. The high rate matrices include scrambling and spreading code information, and the low rate matrices include information on the net channel response and combining weights. The low rate matrices are efficiently computed by a linear convolution in the frequency domain of the net channel response and combining weights (with zero padding to avoid circular convolution), then transforming the convolution to the time domain and extracting matrix elements. Where the combining weights are constant across stages, a common code-specific channel matrix may be computed and used in multiple AMLD receiver stages.
Abstract:
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 but 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.
Abstract:
A multi-carrier linear equalization receiver, e.g., a RAKE receiver or chip equalization receiver, is described herein. The multi-carrier receiver distributes processing delays among a plurality of received carriers based on a dispersion determined for each carrier. The receiver initially allocates a minimum number of processing delays sufficient for light dispersion to each carrier. For the dispersive carriers, the receiver allocates one or more additional processing delays. In one embodiment, the additional processing delays are allocated to the dispersive carriers based on SIR.
Abstract:
Methods and apparatus for providing automatic gain control (AGC) for received multi-carrier signals are disclosed. A receiver circuit comprises a common analog signal path, which includes an analog variable-gain circuit and an analog-to-digital converter, and further comprises first and second carrier-specific, digital variable-gain circuits corresponding to first and second carriers of the received multi-carrier signal, respectively. The receiver circuit further includes a gain control circuit configured to control the analog and digital variable-gain circuits and to allot gain adjustments to the analog variable-gain circuit based on a difference between carrier signal levels for the first and second carriers. In some embodiments, the gain control circuit selectively operates in an all-carrier mode, in which analog gain adjustments are calculated from both of the carrier signal levels, or in an unequal-priority mode, in which analog gain adjustments are calculated from only one of the first and second carrier signal levels.
Abstract:
The placement of processing delays may be adjusted to facilitate signal reception. In an example embodiment, a composite signal having multiple signal images corresponding to multiple reception delays is received. A root-mean-square (RMS) delay spread is ascertained for the multiple reception delays that correspond to the multiple signal images of the composite signal. A set of temporal points is produced responsive to the RMS delay spread. Multiple processing delays are placed based on the set of temporal points. In different example implementations, the set of temporal points (e.g., of a grid) may be produced by adjusting a spacing between temporal points, by adjusting a total number of temporal points in the set, or by changing a center location of the set. The spacing and number of points may be adjusted responsive to the RMS delay spread. The center location may be adjusted responsive to at least one calculated delay.
Abstract:
Methods and apparatus for processing a received multi-stream (MIMO) signal, and in particular for estimating a per-code traffic-channel-to-pilot power ratio for the MIMO signal are disclosed. An exemplary method includes the calculation of an average symbol amplitude or average symbol power level from a plurality of de-spread traffic channel symbols received in a first transmission slot and the estimation of a corresponding pilot symbol amplitude or pilot symbol power level, based on an estimated propagation channel response and at least one of a plurality of precoding vectors used to generate the MIMO signal. A per-code traffic-channel-to-pilot power ratio for the first transmission slot is computed by dividing the average symbol amplitude or average symbol power level by the corresponding pilot symbol amplitude or pilot symbol power level.