42results about How to "Improve estimate quality" patented technology

The invention discloses a method and a system for sending an SRS (survey reference signal); the method comprises the following steps: user equipment (UE) transmits the SRS to a base station on a time domain resource, a frequency domain resource and/or a code domain resource, wherein the time domain resource comprises the last time domain sign, the first time domain sign or the last but one time domain sign of a sub-frame of an SRS cycle; the frequency domain resource comprises a frequency domain location of the SRS or a sending frequency comb of the SRS, the code domain resource is obtained by the following method: a sequence group number of the SRS is generated by the UE according to a parameter which is configured for the UE by the base station through a high level signaling and is proprietary by users, and the code domain resource which is needed for sending the SRS is determined according to the generated sequence group number of the SRS. The available resource of the SRS is increased, the user multiplexing capacity of the SRS is improved, and the channel estimation quality of the base station to the SRS is improved, therefore, the application of the coordinated multi-point transmission technology to the system is supported effectively.

The invention discloses a parameter sending method and device. The method comprises the steps that a network side distributes parameters used for generating DMRS sequences of demodulation reference signals to a user side, the parameters comprise system bandwidth, resource block indexes, circulating shift indexes and DMRS basic sequence indexes, and the network side sends the generated parameters to the user side. The invention further discloses an uplink demodulation reference signal emission method and device. The method comprises the steps that the user side receives the parameters sent by the network side and used for generating the DMRS sequences, the parameters comprise the system bandwidth, the resource block indexes, the circulating shift indexes and the DMRS basic sequence indexes, and the user side determines the corresponding DMRS sequences according to the received parameters and transmits the DMRS sequences on corresponding physical resources. According to the method and the device, DMRS orthogonality of more than two users with the bandwidth parts overlapped can be supported, and application and performance are not limited by the moving speed of the users.

The invention provides a mapping method and system of cell resources in a cooperative measurement set during multipoint cooperative transmission. The mapping method comprises the following step: when a target cell in the cooperative measurement set sends a channel state information reference signal, other cells in the cooperative measurement set send data on a part of time-frequency resources which correspond to the channel state information reference signal of the target cell, wherein other cells refer to all cells except the target cell in the cooperative measurement set or a part of the cells except the target cell in the cooperative measurement set. The invention keeps the orthogonal design of CSI-RS (Channel State Information-Reference Signals) of different cells and can enhance the estimation quality of a mobile terminal on estimating the channel state information reference signals of cooperative cells, without sending the data on the resource elements of the channel state information reference signals of the cooperative cells and enhance the system throughput by sending the data on the resource element positions of the channel state information reference signals of the cooperative cells.

The invention relates to an uplink channel estimation method based on downlink coherent cooperative multicast transmission. The method comprises the following steps: firstly, multiple users in multiple cells transmit SRSs, and a base station transforms a time-domain receiving signal into a frequency-domain receiving signal; secondly, the base station performs sequencing to the multiple users in the multiple cells according to the large-scale fading channel energy in series, and channels between the multiple users in the multiple cells and the base station are estimated one by one in sequence by an interative method; thirdly, when the channel of the ith user is estimated by the first iteration, a related receiving signal is reconstructed by using the estimated user channel and is eliminated from the receiving signal of the base station, and the robust channel estimation is performed by using the large-scale fading channel energy; and fourthly, when the channel of the ith user is estimated by the mth (m is greater than 1) iteration, a related receiving signal is reconstructed by using the channels used for the users (from 1 to i-1) and obtained during the m iteration through the estimation and the channels used for the users (from i to K) and obtained during the (m-1)th iteration through the estimation and is eliminated from the receiving signal of the base station, and then the robust channel estimation is carried out.

The invention belongs to the field of computer vision and relates to a space salient region extraction method based on a depth variation model. The method comprises the steps of firstly, correcting a camera, selecting a keyframe image sequence in an image, acquiring an original depth image with the discrete space sampling method, and constructing the energy function of a depth estimation model under the variation mode; then, solving the energy function with the primal-dual algorithm to achieve optimization of the depth model; conducting rough salient region extraction on the optimized depth image with the salient filter algorithm, and optimizing a salient region by means of an improved pulse coupling neural network to achieve accurate extraction of the depth salient region; finally, reconstructing a three-dimensional salient area. According to the method, based on the relevance between different coordinate systems under a specific visual angle and the perspective projection transformation relation of the camera, the energy function contains multi-view image restraint, the computation complexity of solving of an algorithm model is reduced, and depth image estimation quality is improved.

The invention discloses a channel state measure pilot frequency (CSI-RS) configuration method and device; the method comprises the following steps: a base station determines CSI-RS configuration information; the base station forms a signaling containing the CSI-RS configuration information; the base station emits the signaling containing the CSI-RS configuration information. The CSI-RS configuration information comprises a port number, pilot frequency resource pattern information and a reuse mode between CSI-RS ports; when the port number is bigger than 1, the CSI-RS has M candidate pilot frequency resource patterns, wherein M is an integer bigger than 1. The CSI-RS configuration method and device can support CSI-RS transmission with the port number bigger than 8.

The invention discloses a pilot signal sending and channel estimation method under a large-scale MIMO TDD wireless system. The method includes the steps that (1) channel information between base stations of adjacent cells is updated; (2) all adjacent cell users send pilot signals to the respective base stations in an interlaced mode; (3) the base stations conduct channel estimation on the users of the cells according to the channel information between the base stations and the pilot signals received from the users of the cells; (4) services are provided for the users according to channel estimation results, and the step (1) is executed again when the time period is reached. By means of the pilot signal sending and channel estimation method, the user experience degradation and throughput saturation effect caused by the problems such as pilot pollution can be eliminated fundamentally, the user experience is improved obviously, and the system throughput is increased.

The invention discloses an OFDM channel estimation method based on deep learning, which mainly solves the problems of poor channel estimation quality or too high implementation complexity in the prior art. According to the scheme, the method comprises: at a receiving end, obtaining and preprocessing a time domain signal y, and obtaining a frequency domain signal YP of a pilot frequency position of a received signal; establishing a channel estimation model CE-Net by using a full connection layer neural network, and training the channel estimation model CE-Net; carrying out migration training by utilizing data of a real environment; and placing the CE-Net at a receiving end used for online channel estimation. According to the method, the implementation complexity of channel estimation is reduced, the channel estimation quality is remarkably improved, and the method can be used for an OFDM communication system in a comb-shaped pilot frequency mode.

A plurality of wireless channels link a transmitter and a receiver, each channel corresponding to a different transmit-receive antenna pair. Channel state information is estimated for the plurality of wireless channels by grouping the plurality of channels into one or more groups, each group including the channels associated with two or more collocated transmit and/or receive antennas. A set of delay tap values is iteratively estimated in the time domain for each group of channels so that the channels included in the same group are associated with the same delay tap values. A frequency domain channel response of each of the channels included in the same group of channels is estimated based on the set of delay tap values estimated for the group.

A method for estimating a probability distribution of the maximum coefficient of friction (μ) at a current and/or future waypoint (s, s*) of a vehicle. According to the method, a first probability distribution (WV1) for the maximum coefficient of friction (μ) at the waypoint (s) of the vehicle is determined by a Bayesian network from a first data set, which is, or was determined, for one, in particular current, waypoint (s) of the vehicle and which characterizes the maximum coefficient of friction (μ) at the waypoint (s) of the vehicle.

A channel sounding system employs orthogonal sequences to meet the Cramer-Rao bound in estimating the channel and achieves considerable simplification of the structure necessary to perform the channel sounding. These advantages are achieved by developing orthogonal sequences of substantially arbitrary length as a function of first and second existing orthogonal sequences and using such orthogonal sequences for channel sounding in lieu of M-sequences. The techniques of the invention are especially suited to systems that use multiple antennas at the transmitter and multiple antennas at the receiver, so called multiple-input multiple-output (MIMO) systems.

The invention discloses a pilot frequency distribution method for a cellular-removed large-scale MIMO system, and the method comprises the steps: obtaining a sorted user list according to a preset user sorting process; obtaining an orthogonal pilot frequency sequence with a number according to a preset numbering process; and according to a preset allocation process, sequentially allocating the orthogonal pilot frequency sequences with the numbers to all users in the user list according to the numbers. According to the method, the use frequency of each pilot frequency sequence is balanced, the condition that a certain pilot frequency is multipurpose or not used is avoided, and the fairness of the use frequency of the pilot frequency of the user is ensured. On the basis, the distance between the users using the same pilot frequency is increased, the pilot frequency pollution to each user is further reduced, and the channel estimation quality is improved, so that the relatively fair service and quality are provided, and the average spectrum efficiency of the whole system is also improved.

The invention discloses a beam forming transmission method and network equipment, which are used for solving the defects of limited flexibility and limited performance of the method for improving channel estimation quality in the prior art; the method comprises the following steps that: a network side determines configuration information of a PRB bundling parameter, wherein the time domain configuration information in the configuration information is configurable; the network side transmits the configuration information to a terminal, so that after the terminal receives the configuration information, channel estimation and demodulation are performed by using a precoding mode corresponding to the configuration information.

The invention relates to a bandwidth allocation method for extension class division multiple access of a wireless sensing network, belonging to the technical field of wire communication. The bandwidth allocation method comprises the following steps of: firstly observing parameters by nodes, quantizing the observation results, generating an orthogonal waveform by each node according to the allocated bandwidth, selecting one orthogonal waveform, and transmitting the observation result to a fusion center in the wireless sensing network; receiving a transmission signal of each node by the fusion center, carrying out matched filtering and parameter estimation on the received signals and transmitting the estimation information to each node; reallocating the bandwidth for each node class by eachnode according to the received estimation information, and reallocating bandwidth by the nodes when the next measurement is carried out on the wireless sensing network. The method of the invention can utilize the bandwidth resources with higher efficiency and simultaneously improves the estimation quality of the fusion center on the parameters to be observed and the use efficiency of the communication bandwidth.

The invention relates to a bandwidth allocation method used for wireless sensor network extending class division multiple address access, belonging to the technical field of wireless communication. The bandwidth allocation method comprises the following steps: observing the parameters by each node; quantifying the observation results; evenly distributing initial bandwidth for each node; generating orthogonal wave shapes according to the distributed bandwidth; selecting an orthogonal wave shape from the generated orthogonal wave shapes; transmitting the observation result to a fusion center in the wireless sensor network; obtaining a receiving signal after the fusion center in the wireless senor network receives the transmission signals from each node; carrying out matched filtering treatment on the receiving signal by the fusion center; calculating the detection feedback quantity by a fusion center; and redistributing the bandwidth for each node by each node according to the detection feedback quantity. Through using the expanding class division multiple address mode, in the bandwidth allocation method, the bandwidth resources are efficiently utilized, and simultaneously the estimation quality of the fusion center to the parameters to be observed and the use ratio of the communication bandwidth are improved.

The invention provides a pilot frequency mapping method, a pilot signal transmission method and a device thereof, a base station and a terminal. In each PRB of a PRB group, a pilot frequency of each antenna port is mapped to a resource unit RE position in the PRB according to an antenna port number and a number of the PRB in the PRB group or in an entire system bandwidth so that support is provided for implementation of power borrowing. Emission power at a base station terminal is fully used so as to expand a cover area of a pilot signal and improve channel estimation quality of a receiving end.

Most wireless channels are sparse, so sparse channel-based methods can be used for channel estimation and feedback with much better estimation accuracy and much lower feedback overhead. However, certain wireless channels can be non-sparse, for which sparse channel-based methods may cause degraded estimation quality and increased feedback overhead. Means of detecting the channel sparseness are described that provide simple and effective channel sparseness indicators and safeguard against the mismatch between non-sparse channels and sparse channel-based methods. Various fallback options can be used under non-sparse channels such that estimation degradation and feedback overhead are both minimized. Fake multipath removal in continuous time-domain parameter extraction, a sparse channel-based method, is also described that further improves estimation quality and reduces feedback overhead.