48results about How to "Guaranteed estimated performance" patented technology

The invention provides a multi-target positioning method of a bistatic multi-input multi-output radar, comprising the following steps of: (1) transmitting mutually orthogonal phase-coded signals by M transmitting array elements, and receiving the phase-coded signals by N receiving array elements, wherein the distances of the M transmitting array elements and the N receiving array elements are all of half wavelengths; (2) carrying out matched filtering on the received phase-coded signals by a matched filter of a receiver of each receiving array element; (3) carrying out multistage Wiener filtering on a matched signal data covariance matrix space, and carrying out forward recursion to obtain a signal subspace; (4) carrying out high-resolution DOA (Direction of Arrival) estimation by using an ESPRIT algorithm, wherein a pairing algorithm is used for carrying out the automatic pairing on two-dimensional parameters; and (5) realizing multi-target positioning according to cross points at two angles so as to obtain the positions of space targets. The multi-target positioning method provided by the invention has the advantages of low computation complexity, high computation speed, high estimation accuracy and can be used for positioning the sea-surface or low-altitude targets during tracking and guidance.

Provided are a method and apparatus for transmitting a reference signal in a multi-antenna system. A terminal generates a plurality of reference signal sequences in which cyclic shift values that are different from each other are allocated to the respective plurality of layers, and generates an orthogonal frequency division multiplexing (SC-FDMA) symbol to which the plurality of reference signal sequences are mapped. The SC-FDMA symbol is transmitted to a base station via a plurality of antennas. Each of the reference signal sequences is multiplied by either +1 or −1 in accordance with an orthogonal covering code (OCC) index corresponding to the cyclic shift field in a DCI format transmitted via a physical downlink control channel (PDCCH) for each layer.

The invention relates to a method using pilot frequency inserting to restrain the phase noise in the orthogonal frequency division multiplexing system, belonging to the transmission of digital information technical field. The method includes carrying the symbol mapping process at the transmitting terminal after the input signals are processed with scrambling code, channel encoding to generate the data symbols; obtaining the frame head; making up of the continuous pilot frequency composed of a pseudorandom sequence and guard gap, inserting the continuous pilot frequency into the data symbols, then processing disperse inverse Fourier transform to get the frame; multiple connecting the frame head and the frame to transmit after back end processing; processing frequency domain equilibrium using the estimated channel response at the receiving end, then carrying linear correlation on the poised signals and the pseudo random sequence to obtain the frequency domain estimated value of the phase noise; carrying disperse inverse Fourier transform on the frequency domain estimated value of the phase noise, than processing the phase correction on the received signals in the time domain to get the compensated signals. The computer simulation shows that the invention can effectively eliminate the phase noise interference with low arithmetic complexity and simple implement.

The invention discloses a subcarrier clustering and power joint distribution method for a radar communication integrated system. The method comprises the following steps: determining a target detection and wireless communication model and environment priori knowledge of the radar communication integrated system; respectively constructing a mutual information expression representing target parameter estimation performance and a data transmission rate expression representing communication performance; estimating a performance mutual information threshold [xi]rad and a data transmission rate threshold [xi]com according to preset target parameters, and establishing a subcarrier clustering and power joint distribution model of the radar communication integrated system; solving the subcarrier clustering and power joint distribution model of the radar communication integrated system. The total transmitting power of the radar communication integrated system can be effectively reduced, and theradio frequency stealth performance of the system is effectively improved.

The invention discloses an FPGA (field programmable gate array) based DOA (direction of arrival) estimation fast-implementing method. The FPGA based DOA estimation fast-implementing method includes building a central symmetrical array on the basis of virtual array expansion, mapping the algorithm processing from the complex field to the real number field on the basis of preprocessed unitary transformation, calculating covariance matrix on the basis of the FPGA, implementing eigenvalue decomposition on the basis of the FPGA, and performing one-dimensional spatial spectrum search under constraint of threshold on the basis of the FPGA. The FPGA based DOA estimation fast-implementing method with simple conception and low calculation amount has stable performance and high portability, has no limit to antenna type and has wide application range, and helps to implement rapid response function of the DOA on the premise of keeping DOA estimation performance constant; the signal processing is completed within the real number field and only needs add and subtract and shifting of the FPGA.

The invention discloses a multi-station multi-external-radiation-source radar moving target positioning method based on error correction. The method comprises the following steps: firstly, pseudo-linearizing a double-base-distance nonlinear measurement equation and a double-base-distance change rate nonlinear measurement equation of the multi-station multi-external-radiation-source radar to obtainjoint estimation of the position and the speed of a moving target and system deviation; considering the correlation between the auxiliary variable and the target position and speed, constructing a multi-step correlation least square estimation model, and carrying out the optimization solving, so as to reduce the estimation error of the target position and speed; and finally, correcting by using the system deviation estimation value, and performing posteriori iteration to further improve the estimation performance of the target position and speed. The influence of system deviation on the positioning precision is considered, the target state and the system deviation are jointly estimated, and the positioning precision of the moving target is improved through error correction. And meanwhile,multi-step correlation least square estimation and a posteriori iterative algorithm are adopted, so that the estimation error of the target state is further reduced.

The embodiment of the invention discloses a demodulation reference signal sending and receiving method, a base station and user equipment. The sending method comprises the following steps: determiningthe configuration type of a demodulation reference signal DMRS corresponding to a micro time slot according to the number of symbols occupied by the micro time slot; wherein the configuration parameters corresponding to the configuration types comprise at least one of comb teeth, cyclic shift of the DMRS and symbols occupied by the DMRS, and the number of at least one configuration parameter in different configuration types is different; determining at least one user equipment scheduled in the micro time slot and the value of the configuration parameter corresponding to the at least one userequipment according to the configuration type; And sending the configuration type and the value of the configuration parameter to the at least one user equipment. In the embodiment of the invention, the configuration type of the corresponding DMRS is determined according to the number of symbols occupied by the micro time slot, so that the real-time performance of performing channel estimation through the DMRS is ensured, and the channel estimation performance is ensured.

The invention provides a sensor network distributed particle filter method based on information consistency in a nonlinear and non-Gaussian system. According to the method, based on centralized particle filter, network reliability is introduced to represent a global likelihood function, the interaction and the fusion of local reliability are performed through consistency iteration, the consistency of particle samples and weight value among nodes is realized, the precision is estimated to approach an centralized method. The distributed particle filter method based on information consistency is used for realizing consistency state estimation throughout of the network through a distributed mode, and has relatively excellent estimation performances in nonlinear and non-Gaussian environments of flicker noises and the like.

The invention relates to a self-adaptive forward output consistent safety controller for a multi-single-arm manipulator, which is characterized in that self-adaptive Iamp is adopted for N follower single-arm manipulators with unknown dynamics based on a leader single-arm manipulator with an expected trajectory; according to the technology I, an uncertain equivalent estimator is designed, a failure fault caused by an actuator fault is processed, and the negative influence of the failure fault is overcome; meanwhile, a distributed output consistent controller is designed for each follower single-arm manipulator by utilizing a self-adaptive forward technology, so that the design difficulty of the controllers is reduced, and a self-adaptive Iamp is introduced; the technology I improves the radial basis function neural network, and improves the approximation performance of the neural network to unknown dynamics. Besides, a dynamic trigger mechanism is adopted to design a leader information estimator, continuous monitoring of neighbor information is avoided, the communication frequency between the single-arm manipulators is reduced, unknown dynamic states in the system can be effectively processed through the whole design, faults of an actuator can be resisted, and the reliability of the system is improved. And the design difficulty of the controller is reduced, and the communication frequency and precision control among the single-arm manipulators are reduced.

The invention discloses an embedded attitude estimation method based on an unmanned aerial vehicle reconnaissance image, and belongs to the field of image processing and machine vision. The method specifically comprises the following steps: acquiring an original unmanned aerial vehicle reconnaissance image data set, and performing data enhancement processing on the original unmanned aerial vehicle reconnaissance image data set; performing labeling processing on the obtained original unmanned aerial vehicle reconnaissance image data set to obtain a training data set with labels; constructing a lightweight multi-stage hourglass network, and training the lightweight multi-stage hourglass network by using the training data set; and inputting a to-be-processed unmanned aerial vehicle reconnaissance image, preprocessing the unmanned aerial vehicle reconnaissance image, inputting the preprocessed unmanned aerial vehicle reconnaissance image into the trained lightweight attitude estimation network to obtain a portrait feature map, and estimating a portrait attitude according to the portrait feature map. According to the technical scheme of the invention, algorithm performance and deployment adaptability are planned as a whole, and many problems of attitude estimation of the unmanned aerial vehicle video processing system are solved.

A method for processing a sounding reference signal, a base station and a user equipment. The method for processing a sounding reference signal comprises: configuring indication information used for indicating N symbols in a uplink pilot time slot (UpPTS) in a special subframe, wherein the N symbols are used for carrying an SRS repeatedly sent by a first user equipment (UE), the special subframe comprises: a downlink pilot time slot (DwPTS), a guard period (GP) and the UpPTS, and N is a natural number greater than 2; sending the indication information, the configuration thereof being complete, to the first UE; and receiving, on the N symbols in the UpPTS in the special subframe, the SRS sent by the first UE.

The invention provides a linear frequency modulation continuous wave radar pre-detection parameter estimation method based on FFT. The method comprises the following steps: carrying out grid point division of a fast time domain and a slow time domain, building an observation model of a received signal, and carrying out distance and Doppler parameter estimation of all grid points based on the model; removing coupling among the grid points based on a weighting matrix, and converting a joint estimation problem of target parameters corresponding to all the grid points into individual estimation of each grid point target; establishing a cost function of a parameter estimation problem, and obtaining an analytic solution of parameter estimation based on first-order Taylor approximation; calculating a first-order derivative and a second-order derivative in a parameter estimation analytic solution based on FFT, and obtaining a parameter estimation result on the basis of the first-order derivative and the second-order derivative. According to the method, target parameters can be quickly estimated before target detection, so that accurate matching signal processing based on known parameters becomes possible.

The invention provides information configuration, channel estimation method and device, the information configuration method comprises the steps that a demodulation reference signal pilot frequency isconfigured in a time-frequency resource, the signal is used for transmitting a signal or used for a receiving end to conduct channel estimation or detection demodulation, the demodulation reference signal pilot frequency accounts for n symbols in m symbols in a time domain, m is an integer larger than 1, and n is equal to 0. By adopting the technical scheme, the problems that in the related art,the pilot frequency overhead is increased, and although the channel estimation performance can be improved, the system spectral efficiency is low due to the fact that the pilot frequency overhead is increased are solved.

The invention discloses a coprime coherent signal source estimation method based on denoising nuclear norm minimization, which comprises the following steps: a plurality of far-field coherent signal sources emitting the same electromagnetic wave signal to a co-prime array according to different DOA to obtain a receiving signal of the co-prime array; acquiring a receiving signal of the interpolated uniform linear array; calculating a sampling covariance matrix of the interpolation uniform linear array, and constructing a binary identification matrix; reconstructing a Toeplitz matrix with a complete element; performing eigenvalue decomposition on the Toeplitz matrix, and obtaining an estimated coherent signal source angle parameter through spectral peak search; and finally, obtaining an estimated DOA parameter of the coherent signal source. According to the method, on the basis of a co-prime array interpolation algorithm based on nuclear norm minimization, denoising operation is introduced, the nuclear norm minimization problem of a Toeplitz matrix formed by received signals is solved through convex optimization, and high-precision super-resolution DOA estimation of multiple coherent signal sources is achieved.

The invention relates to a characteristic vector phase compensation method based on Arnoldi. By using an existing phase compensation method based on a characteristic vector, a calculated amount is large. By using the method of the invention, the above problem is solved. The method is characterized by 1, taking M target echoes, acquiring the one-dimensional distance image of the target echoes by modeling a complex distance image, using an accumulation cross correlation method to carry out envelope alignment and acquiring distance dimension compression data after envelope alignment; 2, calculating a sampling covariance matrix; 3, using Arnoldi iteration to solve a characteristic vector corresponding to the maximum characteristic value of the sampling covariance matrix, extracting phase information of each element in the characteristic vector corresponding to the maximum characteristic value, carrying out phase compensation on the distance dimension compression data after the envelope alignment in the step1, and acquiring the data after phase compensation; and 4, using a range Doppler method to carry out ISAR imaging on the data after the phase compensation. The method is used for theinverse synthetic aperture radar field.