Abstract:
A method and apparatus for estimating and reporting the quality of a wireless communication channel between a wireless transmit/receive unit (WTRU) and a Node-B. A modulated signal is received from the Node-B over the communication channel and a channel estimation is performed on the modulated signal to provide a channel estimate. In one embodiment, the modulated signal is demodulated based on the channel estimate to provide a demodulated signal and a signal-to-interference (SIR) estimate based on the demodulated signal is obtained. The quality of the communication channel is estimated based on at least the SIR estimate. In an alternate embodiment, a SIR estimate based on the channel estimate is obtained. The quality of the communication channel is estimated based on the SIR estimate and additional information including at least one of delay spread, transmit power and WTRU velocity information.
Abstract:
The present invention has many aspects. One aspect of the invention is to perform equalization using a sliding window approach. A second aspect reuses information derived for each window for use by a subsequent window. A third aspect utilizes a discrete Fourier transform based approach for the equalization. A fourth aspect relates to handling oversampling of the received signals and channel responses. A fifth aspect relates to handling multiple reception antennas. A sixth embodiment relates to handling both oversampling and multiple reception antennas.
Abstract:
A method and apparatus for estimating and reporting the quality of a wireless communication channel between a wireless transmit/receive unit (WTRU) and a Node-B. A modulated signal is received from the Node-B over the communication channel and a channel estimation is performed on the modulated signal to provide a channel estimate. In one embodiment, the modulated signal is demodulated based on the channel estimate to provide a demodulated signal and a signal-to-interference (SIR) estimate based on the demodulated signal is obtained. The quality of the communication channel is estimated based on at least the SIR estimate. In an alternate embodiment, a SIR estimate based on the channel estimate is obtained. The quality of the communication channel is estimated based on the SIR estimate and additional information including at least one of delay spread, transmit power and WTRU velocity information.
Abstract:
A receiver (fig.2) comprises a plurality of antenna elements (210) for receiving a data signal. Each antenna element (210) has a plurality of Rake fingers (200). Each Rake finger (200) processes a received multipath component of the received data signal of its antenna element (210) by applying a complex weight gain to that received multipath component. A complex weight gain generator (205) determines the complex weight gain for each Rake finger (200) for each antenna element (210) using an input from all the Rake fingers (200). A summer (225) combines an output of each Rake finger (200) to produce an estimate of the data signal.
Abstract:
A simple and robust CTL (21) is used for time tracking of multipath components of a spread spectrum signal transmitted over a wireless multipath fading channel. A digital code-tracking loop includes the implementations of despreading early and late data samples by use of a pseudonoise sequence, an error signal output generated by the despreading, and adjustment for a plurality of on-time, early and late samples, a data rate of a control signal provided as a fractional proportion of a data rate of error signals.
Abstract:
A receiver which suppresses inter-cluster multipath interference by processing an impulse channel response consisting of two multipath clusters, each cluster having groups of signals with multiple delays. In one embodiment, the receiver includes a single antenna and parallel-connected delay units used to align the groups of signals before being input into respective sliding window equalizers. The outputs of the equalizers are combined at chip level via a combiner which provides a single output. In another embodiment, a Cluster Multipath Interference Suppression (CMIS) circuit is incorporated into the receiver. The CMIS circuit includes a hard decision unit and a plurality of signal regeneration units to generate replicas of the multipath clusters. The replicas are subtracted from the respective outputs of the delay units and the results are input to the respective sliding window equalizers. In another embodiment, multiple antennas are used to receive and process the clusters.
Abstract:
An improved system and method for estimating one or more parameters, such as amplitude and signal-to-noise ratio, of a received signal, such as an M-QAM or q-ASK signal, is set forth herein. A first embodiment of the invention estimates the amplitude of an M-QAM signal based upon known or ascertainable phase information regarding a plurality of transmitted symbols. A respective set of received symbols corresponding to the plurality of transmitted symbols is recovered. Each of the plurality of received symbols is multiplied by a complex unit vector with a phase that is opposite in sign to the complex transmitted data symbol to generate a set of products. The set of products is summed, and the real part of the sum of products is then determined. The absolute values of the known transmitted symbols are summed to generate a total magnitude value. The real part of the sum of products is divided by the sum of transmitted magnitude values to generate an estimate of the amplitude of the M-QAM signal. Other embodiments of the present invention utilize second-order and fourth-order moments of received samples, a maximum likelihood searching process, or a Kurtosis estimation process to estimate amplitude, noise power, and signal-to-noise ratio of a received signal.
Abstract:
A sliding window based data estimation is performed. An error is introduced in the data estimation to the communication modeling the relationship between the transmitted and received signals. To compensate for an error in the estimated data, the data that was estimated in a previous sliding window step (58) or terms that would otherwise be truncated as noise are used. These techniques (50, 52, 54, 56. 58, 60, 62 and 64) allow for data to be truncated prior to further processing reducing the data of the window.