Abstract:
According to the teachings presented herein, a method and apparatus for communication signal processing advantageously use a mix of parametric and non-parametric correlation estimation in communication signal processing. Non-parametric estimation generates an “overall” correlation estimate for a received communication signal, and parametric estimation generates a “component” correlation estimate. The component correlation estimate is removed from the overall correlation estimate to form a partial correlation estimate that is used to process the received communication signal at least initially, such as in a pre-equalization stage. The overall and component correlation estimates are generated as impairment and/or data correlation estimates.
Abstract:
Methods and devices in a wireless communication system are provided, in which a first portion and a second portion of signals are transmitted on a physical channel to a first transceiver from a second transceiver. A method for controlling transmission parameters in the wireless communication system comprises the steps of: transmitting an indication indicating that the first and the second receiver processing algorithms are used in the first transceiver to process the first and second portions, respectively, of signals received on the physical channel; receiving the indication at the second transceiver; and adjusting, at the second transceiver in response to the indication, a transmission parameter for at least one of the first and second portions of signals to be transmitted on the physical channel to the first transceiver. The indication could be transmitted from the first transceiver, or it could be determined through evaluations carried out at the second transceiver.
Abstract:
Methods and apparatus for processing a composite communication signal comprising two or more received signals of interest are disclosed. An interference-suppressing receiver, which may comprise a G-Rake receiver or a linear chip equalizer, utilizes a square-root covariance matrix in processing received signals, where the square-root covariance matrix represents impairment covariance or data covariance for the composite communication signal. In an exemplary method, a receiver detects symbols, corresponding to a signal of interest, from the composite communication signal, using processing weights calculated from a square-root covariance matrix and a net channel response for the signal of interest. The method further comprises calculating a reconstructed version of the signal of interest from the detected first symbols, generating an updated communication signal by subtracting the reconstructed version of the first signal of interest from the composite communication signal, and updating the square-root covariance matrix to obtain an updated square-root covariance matrix.
Abstract:
A linear turbo-equalizer for use in a CDMA receiver equalizes a despread received signal (rather than the spread received signal) to suppress self-interference resulting from coupling between transmitted symbols. In an example implementation, a linear equalizer based on a generalized-Rake (G-Rake) receiver design uses decoder feedback in forming Rake combining weights as well as in forming a self-interference estimate removed from the equalizer signal provided to the decoder. Preferably, turbo de-coding is also performed. In that case, each turbo-decoder component preferably executes one pass before feeding back information to the equalizer. This ensures that the turbo-decoder does not prematurely lock onto an incorrect code word before feeding back extrinsic information to the equalizer.
Abstract:
A base station schedules one of a plurality of mobile terminals based on an expected SIR of an effective traffic channel associated with a non-scheduled mobile terminal. The expected SIR is generated by computing the expected SIR of a hypothesized traffic channel with a pre-filter adapted to the non-scheduled mobile terminal that would result if the non-scheduled mobile terminal was scheduled. A base station then schedules transmissions to the plurality of mobile terminals based on the computed expected SIR. The expected SIR may be computed so as to compensate for mismatch between the hypothesized traffic channel and a pilot channel associated with the non-scheduled mobile terminal. Alternatively, the expected SIR may be directly computed based on an estimate of the pre-filter of the hypothesized traffic channel.
Abstract:
A model-based technique for estimating impairment covariance associated with a MIMO signal is disclosed. In an exemplary method, an impairment model is constructed for a received composite information signal comprising at least a first data stream transmitted from first and second antennas according to a first antenna weighting vector. The impairment model includes first and second model terms corresponding to the first and second antennas, respectively, but in several embodiments does not include a cross-antenna interference term. In another embodiment, an impairment model for a received MIMO signal is constructed by computing an impairment model term for each antenna and an additional term to account for preceding interference in a single-stream MIMO transmission scenario. The impairment terms are grouped so that only two associated scaling terms are unknown; values for the scaling terms are estimated by fitting the model to measured impairment covariance values.
Abstract:
Teachings presented herein present a “whitening” channel estimation method and apparatus that produce high-quality net channel estimates for processing a received signal, such as a received CDMA signal. Processing includes forming an initial least squares problem (for medium channel estimates) using known pilot values and corresponding pilot observations for the received signal, transforming the initial least squares problem using a whitening transformation term, and solving the transformed least squares problem to obtain whitened medium channel estimates. The whitening transformation term may be determined, for example, by carrying out a Cholesky factorization of a (traffic) data correlation matrix, which can be obtained from traffic data values for the received signal. Processing further includes converting the whitened medium channel estimates into whitened net channel estimates, which consider the effects of transmit/receive filtering.
Abstract:
As taught herein channelization code power estimates are generated for a number of data channels in a received CDMA signal based on a joint determination process. Joint processing in this context yields improved estimation of data channel code powers and corresponding estimations of noise variance. These improvements arise from exploitation of joint processing of measured data value correlations across two or more data channel codes represented in the received signal. In one or more embodiments, joint determination of data channel code powers comprises forming a correlation matrix as a weighted average of correlations determined for a plurality of data channels. In one or more other embodiments, joint determination of data channel code powers comprises jointly fitting the correlation matrices for a plurality of data channels in a least squares error estimation process.
Abstract:
Outer-loop power control methods and apparatus are disclosed. In an exemplary embodiment, a short-term block error rate is measured for a received signal, and a coarse adjustment to a target signal-to-interference ratio (SIR) is calculated as a function of the short-term block error rate, a target block error rate, and a first loop tuning parameter. In some embodiments, a fine adjustment to the target SIR is also calculated, as a function of a smoothed block error rate, the target block error rate, and a second loop tuning parameter. The coarse adjustment provides quick responsiveness to received block errors, while the fine adjustment moderates the coarse adjustments by accounting for a longer-term view of the received block error rate. The target SIR adjustments disclosed herein may be computed in each of several iterations of an outer-loop power control loop.
Abstract:
A device that estimates information from a signal includes a receiver for receiving an input signal and electronic processing circuitry. The electronic processing circuitry generates a matrix associated with the input signal and determines an approximation of an inverse of the matrix based on the adjoint of the matrix and a scaling factor associated with the determinant of the matrix. This approximation avoids possible mathematical difficulties that may be encountered in certain situations when a typical matrix inversion is calculated. The approximated inverse matrix is applied to the input signal to transform the input signal into an output signal. Information associated with the input signal is then determined based on the output signal.