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:
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:
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:
A delta-sigma converter including a multiplier. The delta-sigma converter includes a feed-forward path and a feedback path providing a feedback signal. The converter output signal is multiplied in the feedback path by a mapping function, and the multiplied signal is mapped to a digital feedback signal having the same number of bits as the input signal. There is also provided a digital-to-analog converter including a delta-sigma converter consistent with the invention, and a method of multiplying a digital signal.
Abstract:
A variable frequency synthesizer is used during generation of a phase-encoded signal. The reference signal input to the frequency synthesizer is not held stable and constant, but is instead deliberately varied to control the output of the frequency synthesizer. This varying reference signal, referred to as the phase reference signal, is derived form traditional inphase and quadrature signals, as modified by a phase distorter. The phase distorter applies a pre-distortion to the inphase and quadrature signals so as to compensate for band limiting effects of the frequency synthesizer. The signal transmitted is then based on the phase-encoded signal.
Abstract:
Methods and devices are provided whereby scrambling codes can be set in an improved way. In accordance with one embodiment a method is provided in a User Equipment for generating a second scrambling code or a second scrambling code group. The UE is configured for multi carrier operation receiving downlink transmission from a Universal Mobile Telecommunications System Terrestrial Radio Access Network on a set of at least two downlink carriers including an anchor carrier and at least a first secondary carrier. The method comprises determining a first scrambling code or a first scrambling code group associated with a first cell on the anchor carrier; and deriving a second scrambling code or a second scrambling code group associated with a second cell on said first secondary carrier using a predefined rule defining the relation between the second scrambling code or second scrambling code group and the first scrambling code or scrambling code group. Hereby interference suppression / cancellation processing is enabled in a receiver of a UE on secondary cells in multi-carrier scenarios that do not transmit the SCH, while minimizing the need for overhead in terms of signaling of the scrambling codes for neighbouring cells in a UTRAN system. Methods and devices for E-UTRAN are also described.
Abstract:
A transmitter, channel coder, and method for coding and transmitting a sequence of symbols in a digital communication system utilizing soft pilot symbols. In one embodiment, the transmitter transmits a set of soft pilot symbols 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 transmitter shares the modulation type and location (time/frequency/code) of the soft pilot symbols with a receiver. 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. In another embodiment, soft pilot symbols are inserted by low-level puncturing of channel encoded bits and replacing the punctured bits with known bit patterns.
Abstract:
A transmitter, channel coder, and method for coding and transmitting a sequence of symbols in a digital communication system utilizing soft pilot symbols. In one embodiment, the transmitter transmits a set of soft pilot symbols 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 transmitter shares the modulation type and location (time/frequency/code) of the soft pilot symbols with a receiver. 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. In another embodiment, soft pilot symbols are inserted by low-level puncturing of channel encoded bits and replacing the punctured bits with known bit patterns.
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:
Exemplary combining weight generation is based on estimating received signal impairment correlations using a weighted summation of interference impairment terms, such as an interference correlation matrix associated with a transmitting base station, and a noise impairment term, such as a noise correlation matrix, the impairment terms scaled by fitting parameters. The estimate is updated based on adapting the fitting parameters responsive to measured signal impairment correlations. The interference matrices are calculated from channel estimates and delay information, and knowledge of the receive filter pulse shape. Instantaneous values of the fitting parameters are determined by fitting the impairment correlation terms to impairment correlations measured at successive time instants and the fitting parameters are adapted at each time instant by updating the fitting parameters based on the instantaneous values.