Abstract:
Interference, such as inter-symbol interference, from a symbol of interest in a RAKE receiver is reduced. The RAKE receiver comprises a plurality of RAKE fingers, a processor, and a combiner. The plurality of RAKE fingers despread symbols received over multiple paths of a multi-path channel. The processor determines cross-correlations between symbol waveforms from different symbols and multiple paths. The combiner combines the despread symbols using the cross-correlations to reduce interference from the symbol of interest.
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:
A control system and method for controlling a spread spectrum receiver such as a generalized Rake (G-Rake) receiver or chip equalizer based on a frequency shift (fD) of a received signal. A hybrid channel estimator outputs a low-rate channel estimate such as a slot average channel estimate if fD is less than or equal to a threshold value. If fD is greater than the threshold, a plurality of high-rate channel estimates such as interpolated channel estimates is produced. An impairment covariance matrix estimates correlations between impairment on different fingers of the G-Rake receiver. The update rate of the matrix is controlled dependent on the value of fD. A combining weights calculator then calculates sets of combining weights based on the channel estimates and the impairment correlation estimates.
Abstract:
The impairment processor described herein uses a look-up table operation to reduce the computational complexity associated with determining an impairment correlation between first and second sample streams for an interference rejection receiver. One exemplary impairment processor iteratively computes multiple partial impairment correlations based on values selected from look-up table(s), and combines the partial impairment correlations to obtain a final impairment correlation between the first and second sample streams. During each iteration, the impairment processor computes a pair of delay offsets corresponding to the respective processing and path delays of the first and second sample streams, computes an index value as a function of a difference between the pair of delay offsets, selects a pre-computed value from the look-up table based on the index value, determines a pulse correlation estimate based on the selected pre-computed value, and determines the partial impairment correlation for that iteration based on the pulse correlation estimate.
Abstract:
A receiver and method for receiving and processing a sequence of transmitted symbols in a digital communication system utilizing soft pilot symbols. A set of soft pilot symbols are transmitted with higher reliability than the remaining symbols in the sequence by modulating the soft pilot symbols with a lower order modulation such as BPSK or QPSK while modulating the remaining symbols with a higher order modulation such as 16QAM or 64QAM. The receiver knows the modulation type and location (time/frequency/code) of the soft pilot symbols, and demodulates them first. The receiver uses the demodulated soft pilot symbols as known symbols to estimate parameters of the received radio signal. Unlike traditional fixed pilots, the soft pilots still carry some data. Additionally, the soft pilots are particularly helpful in establishing the amplitude reference essential in demodulating the higher order modulation symbols.
Abstract:
A receiver employs low-rate processing to synthesize the effect of high-rate interference in a received multi-rate signal. Each high-rate subchannel is analyzed on its low-rate descendents to produce symbol estimates for each low-rate symbol interval. The symbol estimates are applied to low-rate descendent subchannels, which are then combined to synthesize the effects of the high-rate interference. An interference canceller processes the synthesized interference with the received signal for producing an interference-cancelled signal. Alternatively, analogous steps may be applied at high-rate to analyze, synthesize, and cancel the effects of low-rate interference in a multi-rate signal.
Abstract:
A mobile receiver having a multi-mode interference suppression function and a way to estimate its speed utilizes a parametric approach to interference suppression at high speeds, and a nonparametric approach at low speeds. In particular, if the mobile receiver is currently operating in a nonparametric mode and its speed exceeds a first predetermined threshold, the mobile receiver switches to a parametric mode. Conversely, if the mobile receiver is currently in parametric mode and its speed is less than a second predetermined threshold, the mobile receiver switches to nonparametric mode. In one embodiment, the speed may be estimated by a Doppler frequency in the received signal, and the thresholds are Doppler frequencies. In one embodiment, the first and second thresholds are different, creating a hysteresis in the mode switching.
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:
In one embodiment, a receiver including one or more signal-processing blocks and a hardware-based matrix co-processor. The one or more signal-processing blocks are adapted to generate a processed signal from a received signal. The hardware-based matrix co-processor includes two or more different matrix-computation engines, each adapted to perform a different matrix computation, and one or more shared hardware-computation units, each adapted to perform a mathematical operation. At least one signal-processing block is adapted to offload matrix-based signal processing to the hardware-based matrix co-processor. Each of the two or more different matrix-computation engines is adapted to offload the same type of mathematical processing to at least one of the one or more shared hardware-computation units.
Abstract:
Receiver resources are allocated based on how subframes are allocated within in a frame between downlink and uplink transmissions and how often the receiver is expected to report feedback information associated with the downlink transmissions. Additional time is available for processing received data blocks if the feedback information derived from those blocks must be reported later than expected due to the unavailability of uplink subframes. According to one embodiment, received signals are processed by receiving transmission configuration information indicating how downlink and uplink subframes are allocated within a frame in the time domain. Based on the transmission configuration information, the receiver determines whether a delay that exceeds a feedback reporting interval assigned to the receiver will occur when reporting feedback information associated with the downlink subframes. Receiver resources are allocated based on whether a delay will occur when reporting the feedback information.