180 results about "Response vector" patented technology

Frequency-independent eigensteering in MISO and MIMO systems are described. For principal mode and multi-mode eigensteering, a correlation matrix is computed for a MIMO channel based on channel response matrices and decomposed to obtain N_S frequency-independent steering vectors for N_S spatial channels of the MIMO channel. ND data symbol streams are transmitted on N_D best spatial channels using N_D steering vectors, where N_D=1 for principal mode eigensteering and N_D>1 for multi-mode eigensteering. For main path eigensteering, a data symbol stream is transmitted on the best spatial channel for the main propagation path (e.g., with the highest energy) of the MIMO channel. For receiver eigensteering, a data symbol stream is steered toward a receive antenna based on a steering vector obtained for that receive antenna. For all eigensteering schemes, a matched filter is derived for each receive antenna based on the steering vector(s) and channel response vectors for the receive antenna.

Methods are provided for choosing mobile stations that have low cross correlations between their array response vectors, thereby minimizing inter-cell interference through uneven average reverse link data rates experienced by the mobile stations and minimizing intra-cell interference without explicit implementation of an interference cancellation algorithm, thereby maximizing the reverse link data throughput of a wireless communication system. Selected mobile stations of one or more are transmitted simultaneously to a base station.

The present invention is a method of allowing inclusion of more than one variable in a Classification and Regression Tree (CART) analysis. The method includes predicting y using p exploratory variables, where y is a multivariate, continuous response vector, describing a probability density function at “parent” and “child” nodes using a multivariate normal distribution, which is a function of y, and defining a split function where “child” node distributions are individualized, compared to the parent node. In one embodiment a system is configured to implement the multivariate CART analysis for predicting behavior in a non-performing loan portfolio.

The invention provides an MIMO-OFDM system channel estimation method based on compressed sensing. The MIMO-OFDM system channel estimation method based on compressed sensing is mainly applied to channel estimation when a receiving terminal is provided with a two-dimensional antenna array. According to the MIMO-OFDM system channel estimation method based on compressed sensing, the time delay, incidence angle and gain of each path of a space channel are estimated in sequence, and channel estimation accuracy can be improved effectively. The MIMO-OFDM system channel estimation method based on compressed sensing comprises the following steps that 1, an initially-estimated value of a channel frequency domain response vector of each pilot frequency sub-carrier is obtained according to the least square criterion; 2, by means of the sparsity of the channel frequency domain response vectors in a time delay domain, the time delay of each path of the channel and an estimated value of a channel time domain response vector of each path of the channel are estimated on the basis of the compressed sensing theory; 3, by means of the sparsity of the channel time domain response vectors in a two-dimensional angle domain, the incidence angle of each path of the channel is estimated on the basis of the compressed sensing theory; 4, the gain coefficient of each path of the channel is estimated according to the least square criterion; 5, estimated values of channel frequency domain responses of all the sub-carriers and antennas are obtained.

A transmitter includes an antenna array having a plurality of antennas for a wireless communication with one or more receivers, and a precoder connected to the antenna array, the precoder to apply a set of beamforming weights to the antenna array, the set of beamforming weights selected from a codebook to form by the antenna array one or more transmit/receive beams or nulls pointing in selected directions. The codebook includes a plurality of sets of beamforming weights for a plurality of directions. The beamforming weights in the codebook are based on a first antenna array response matrix, the first antenna array response matrix defined by a second antenna array response matrix and one or more characteristic matrices. The first antenna array response matrix contains first array response vectors of the antenna array, the second antenna array response matrix contains second array response vectors of another antenna array, the other antenna array being different from the antenna array, and the one or more characteristic matrices describing characteristics of the antenna array.

A sensor-effector system includes an array of sensor-effector transducers providing a plurality of sensed signals and applying a plurality of effector signals. The array provides signals to input signal conditioning circuitry which digitizes and filters the plurality of sensed signals. A processor receives the digitized signals, and processes them to generate multiple feature vectors. It also analyzes the feature vectors to identify patterns and classify the identified patterns and generates at least one response vector resulting from the recognized pattern. The response vector is applied to output signal conditioning circuitry, coupled which converts the response vector to at least one analog signal which is applied as an effector signal to the array of sensor-effector transducers.

Embodiments of the present invention provide methods and apparatuses for implementing hierarchical design-for-test (DFT) logic on a circuit. The hierarchical DFT logic implements DFT circuitry that can be dedicated to a module, and which can configure DFT circuitry for multiple modules to share a sequential input signal and/or to share a sequential output signal. During operation, the DFT circuitry for a first module can propagate a bit sequence from the sequential input signal to the DFT circuitry of a second module, such that the bit sequence can include a set of control signal values for controlling the DFT circuitry, and can include compressed test vectors for testing the modules. Furthermore, the DFT circuitry for the second module can generate a sequential response signal, which combines the compressed response vectors from the second module and a sequential response signal from the DFT circuitry of the first module.

A wireless base station comprises a response vector calculation unit (561), an RSSI measuring unit (562), an MSE calculation unit (563), an FD calculation unit (564) and the like, and those units obtain an index showing communication quality of at least one of two mobile stations that are intended to be space-division multiplexed. According to the index, a control unit (80) judges the suitability of the two mobile stations for space-division multiplexing and performs space-division multiple access communication when judging suitable. The effect achieved with this construction is that the wireless base station maintains quality of communication between the wireless base station and mobile stations at a certain satisfactory level when performing space-division multiple access communication.

From received digital signals and a reference signal, a response vector computing unit computes a received response vector as a received response characteristic of the received signals against a transmission signal. The received response vector computed by the response vector computing unit is stored in a desired terminal response vector table. A virtual response vector for a virtual interception terminal apparatus is stored in a virtual intercepting terminal response vector table. A transmission weight vector computing unit computes a transmission weight vector necessary for weighting a transmission information signal from the received response vector and the virtual response vector, using a Wiener solution. A multiplication unit weights the transmission information signals with the respective transmission weight vectors so as to output transmission digital signals.

Radio frequency signals are transmission-receiving processed by N antennas. A radio unit performs a frequency translation processing, an amplification processing and an A-D or D-A conversion processing between a baseband signal and the radio frequency signal. A signal processing unit performs a signal processing necessary for the transmission/receiving processing by adaptive antennas. A modem unit performs modulation/demodulation processings. A baseband unit serves as interface with a network. A storage period deciding unit determines storage period for a received response vector estimated by the signal processing unit. A control unit controls timings and the like of the radio unit, the signal processing unit, the modem unit and the baseband unit.

An apparatus is provided for detecting a signal in a communication system using a Multiple Input Multiple Output (MIMO) scheme. The signal detection apparatus includes a detector for generating second matrixes by extending a first matrix composed of channel response vectors, generating specific matrixes by decomposing the second matrixes, generating a lattice point of vectors constituting the second matrixes, estimating a signal using the generated specific matrixes and lattice point, and detecting the estimated signal as a received signal if the estimated signal has a value within a predetermined allowable range.

The invention relates to a low-complexity balancing method which is used in a spread spectrum communication system based on iterative interference cancellation, and belongs to the technical field of wireless communication. The method includes the following steps: in the pilot stage when receiving a signal, a channel is estimated using such methods as glide correlation and least square to get an estimation value of compound channel responses; for each compound channel response, L paths with maximum amplitude are selected from KNc paths, and the values of the other paths are assigned as zero; the channel responses are fragmented, Nc paths in each section form a channel response vector, and M vectors belonging to the k section form a channel response matrix; a correlation value register and a provisional decision variable register are initialized; in a numeric data code element stage when receiving the signal, the iterative interference cancellation is acted according the sequence of the numeric data code element to get a final decision value of an emitting code element. The invention greatly reduces the calculation amount of the tap selection and the coefficient training, but the performance thereof surpasses a linear balancing method which arranges the tap according to the maximum path position.

The invention discloses a method and device for double-current wave beam shaping, and relates to the communication technology. Firstly, array response vectors are determined according to DOA angles; secondly, according to the array response vectors, parameters are distributed based on the number of transmitting antennas of each set of base station, two sets of coefficients are generated, wave beam shaping is carried out on the antennas according to the two sets of coefficients, the process that characteristic values are decomposed to obtain characteristic vectors is not needed, and complexity of the double-current wave beam shaping is reduced.

Disclosed are systems and methods which proactively determine particular access terminals which are compatible for simultaneous communication at a high data rate and preferred embodiments provide scheduling of simultaneous communications such that data communication is optimized. Preferred embodiments of the present invention utilize a multiple element antenna array, and associated array response vectors associated with narrow antenna beam forming techniques, (adaptive array antennas) to identify compatible access terminals, such as by calculating a correlation between particular access terminals and, preferably utilizing a predetermined correlation threshold, identifying suitably uncorrelated access terminals. Using such information embodiments of the present invention may determine which particular access terminals may be controlled to transmit at a high data rate at a same time. Embodiments of the present invention are operable with respect to the forward and/or reverse links.

A correlator detects arriving timings of a desired wave and an interfering wave from a signal transmitted by the OFDM scheme. A reception response vector estimator estimates a first response vector for a signal arriving within a guard interval section from the head arriving wave and a second response vector for a signal arriving after the guard interval section from the head arriving wave out of the desired wave, and also a third response vector for a signal arriving within the guard interval section from the head arriving wave and a fourth response vector for a signal arriving after the guard interval section from the head arriving wave out of the interfering wave. An adaptive array block provides a weight vector based on a result of Fourier transform on the first to fourth response vectors.

The invention provides a pseudo-satellite near-far effect inhibition method based on multi-constrained beam forming. Signals received by an antenna array are subjected to A/D (analog/digital) sampling, bandpass filtering, amplitude-phase error correction, covariance matrix and inverse matrix calculation, MUSIC (multiple signal classification) direction finding, pseudo-satellite and navigation satellite signal power estimation, calculation of constraint response vectors corresponding to the direction of pseudo-satellite signals, calculation of multi-constrained beam forming weight, digital beam forming, and navigation solution, so that local position is obtained finally. The method is more universal capable of operating in interference environment, convenient and flexible, modification of a transmitting terminal (pseudo-satellite) is avoided, and modification of radio frequency of a receiving terminal is also avoided. Verification shows that the method is effective and easy to implement.

An equalizer calculates an equalization weight using a transmission channel response vector that arranges transmission channel estimation at the detection path timing and at the neighbor path timings thereof. The equalizer realizes excellent equalization characteristics by generating a transmission channel response vector that will not be affected by MPI by use of a multipath interference canceller (MPIC) to calculate the equalization weight.

The invention relates to a quick arbitrarily shaped directional pattern major lobe maintenance self-adaptive beam-forming method. The method comprises the steps that a principal eigenvector of a major lobe covariance matrix is selected to construct a major lobe area gain and linear constraint matrix, meanwhile, a constraint response vector corresponding to the major lobe area gain and linear constraint matrix is determined, and a linear constraint optimal beam shaper model containing weighting vector quadratic constraints is constructed; quadratic constraint requirements for weighting vectors are relaxed, and a closed-form optimal weighting vector expression of a diagonal loading covariance matrix structure under a GSC architecture is obtained; an optimal diagonal loading capacity meeting quadratic constraint conditions is estimated through an iterative equation, the optimal diagonal loading capacity is substituted into the closed-form self-adaptive optimal weighting vector expression, and a weighting vector corresponding to a major lobe maintenance self-adaptive interference suppression beam is obtained. Quick self-adaptive anti-interference under the major lobe maintenance constraint of an arbitrarily shaped antenna directional pattern is achieved under the GSC architecture, and while the directional pattern major lobe maintenance performance is taken into consideration, the computation complexity is effectively reduced.

Embodiments of this application relate to the technical field of wireless communication, and more particularly to a method and a device for determining whether wireless communication user equipments match, which are used to solve the problem that it is very difficult to determine whether user equipments match in a scenario that there is no monotonous relationship between an angle interval and a channel dependence. A method for determining whether wireless communication user equipments match provided in an embodiment of this application comprises: according to an array response vector of a first user equipment and an array response vector of a second user equipment, determining a dependence value of the first user equipment and the second user equipment; and if the dependence value is not greater than a dependence threshold value, determining that the first user equipment and the second user equipment match. The method of the embodiment of this application imposes no requirement on the antenna interval, and can determine whether user equipments match in a scenario that there is no monotonous relationship between an angle interval and a channel dependence. Further provided are a method and a device for matching wireless communication user equipments.

A radar signal processor has means for outputting a predetermined observation signal from a reflected wave caught by an array element, means for extracting an observation signal component concerning a target from the observation signal, means for computing a sample correlation matrix showing a correlation characteristic between the observation means which is a sample value of a correlation matrix from the observation signal components, means for estimating power of the reflected wave from the sample correlation matrix, and an array response matrix which is comprised of response vectors of the reflected waves, and means for selecting the reflected wave in a predetermined arrival direction power of which is to be estimated and a reflected wave in an azimuth adjacent to the arrival direction of the reflected wave and for computing and determining the array response matrix as an adjacent azimuth array response matrix, having only these reflected waves as elements in order to estimate the power of the reflected wave on the basis of the adjacent azimuth array response matrix.