Abstract:
Methods and apparatus for estimating code-reuse interference associated with a received multi-stream multiple-input multiple-output (MIMO) signal are disclosed. An estimate for the data-to-pilot power ratio, ΓD/P, may be 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 for a received MIMO signal, the parametric model omitting code-reuse interference. Impairment covariance is measured, using, in one or more embodiments, received pilot symbol data. The parametric impairment model is fitted 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 from the one or more scaling parameters, and the per-code energy value calculated from the data-to-pilot power ratio.
Abstract:
A receiver is described herein that is capable of receiving and processing a radio signal and further capable of using interpolation to initialize receiver parameters when there is a change in at least one delay associated with the received radio signal or when there is at least one new correlator position. For instance, the receiver parameters that can be initialized include: (1) channel coefficients; (2) AFC parameters; (3) tracking parameters; (4) noise statistics (noise correlations); (5) signal statistics (channel coefficient correlations); (6) data statistics (despread values or chip samples); or (7) combining weights.
Abstract:
In a parametric G-Rake receiver, a method an apparatus computes initial estimates of one or more scaling parameters and initial combining weights for the parametric G-Rake receiver; estimates the SINR of a received signal based on a mean pilot symbol estimate and the initial combining weights; computes revised estimates for one or more scaling parameters based on the estimated SINR and the initial combining weights; and computes revised combining weights based on one or more revised scaling parameter estimates.
Abstract:
Exemplary received signal processing may be based on maintaining a model of received signal impairment correlations, wherein each term of the model is updated periodically or as needed based on measuring impairments for a received signal of interest. An exemplary model comprises an interference impairment term scaled by a first model fitting parameter, and a noise impairment term scaled by a second model fitting parameters. The model terms may be maintained based on current channel estimates and delay information and may be fitted to measured impairment by adapting the model fitting parameters based on the measured impairment. The modeled received signal impairment correlations may be used to compute RAKE combining weights for received signal processing, or to compute Signal-to-Interference (SIR) estimates. Combined or separate models may be used for multiple received signals. As such, the exemplary modeling is extended to soft handoff, multiple antennas, and other diversity situations.
Abstract:
Multipath components of transmitted data symbols are received with individual delays and processed by a RAKE having a number of fingers. A delay profile indicating magnitudes for a first number of delay values is provided. Estimated magnitudes for a second number of delay values located between the first number of delay values are calculated by interpolation, and a combined delay profile is provided by combining the magnitudes for the first and second number of delay values. Delay values for peaks in the combined delay profile are determined, and a number of peak delay values (P1, P2, P) comprising the largest peak are selected from the combined delay profile. At least some of the selected peak delay values are provided to the RAKE and assigned to the fingers. This allows a reduction of current consumption and dye area, while still providing delay values with sufficient resolution for the RAKE.
Abstract:
A WCDMA receiver performs baseband suppression of the image signal component caused by IQ imbalance. An IQ imbalance image scaling factor is computed from conventional channel estimates and estimates of the IQ imbalance image channel, the latter computed using a conjugated scrambling sequence as the reference sequence for despreading. An IQ imbalance image estimate is obtained by scaling the complex conjugate of the received signal by the IQ imbalance image scaling factor, and is subtracted from the input signal prior to applying traditional baseband demodulation algorithms.
Abstract:
The technology comprises method(s) and apparatus for operating a telecommunications system. In its basic form the method comprises providing plural channelization codes for potential use by an uplink receiver; using unused channelization codes of the plural codes to generate an estimate of an impairment covariance matrix; and using the estimate of the impairment covariance matrix to form a processing parameter. For example, the processing parameter can be one or more weight values which, in turn, are can be used for generating a combined output signal.
Abstract:
The invention relates to a rake receiver and a method for de-spreading thereof. A plurality of noise branches is adopted for producing a plurality of noise components in the rake receiver. Next, a noise combining unit adjusts each noise component according to a plurality of noise weights, so as to combine the noise components to obtain an interference-plus-noise estimation value. The rake receiver eliminates the noises in the main signal generated by the signal branches through using the interference-plus-noise estimation value. Therefore, the performance of a receiving terminal can be enhanced.
Abstract:
RAKE-based receivers utilize lattice reduction for improving symbol estimation accuracy. Channel response estimates and received signal streams are transformed from a constellation lattice basis to an integer lattice basis to increase the orthogonality of symbol estimation decision regions. In one embodiment, received signal streams are processed by generating despread signal samples from received signal streams transmitted using different spreading codes. Channel response associated with the different received signal streams is estimated and transformed from a first lattice basis to a second lattice basis having greater orthogonality between decision regions than the first lattice basis. The despread signal samples are aligned to the second lattice and combining weights generated based on the transformed channel response estimate. Symbol estimation decision statistics are generated based on the combining weights and the aligned despread signal samples. Soft bit values are generated for decoding based on the symbol estimation decision statistics.
Abstract:
A parametric form of G-Rake and chip equalization for closed-loop transmit diversity is provided, that accounts for impairment correlation between transmit antennas. In a closed-loop transmit diversity system, the base station transmits a signal from two or more antennas, using one of a predetermined set of relative phase offsets at one of the antennas. The parametric estimation of the impairment or data covariance is performed by summing terms, including a term for each possible phase offset. The terms are weighted by fitting parameters. The fitting parameters are jointly solved by fitting the impairment or data covariance estimate to a measured impairment or data covariance. In another aspect, a measured impairment covariance is formed by exploiting a special relationship between the pilot channels of the different transmit antennas.