Abstract: Disclosed are a cooperative positioning method and apparatus, a device, and a non-transitory computer-readable storage medium. The method may include: determining an initial positioning estimated value of each of a plurality of objects to be measured by a simulated annealing algorithm and a first preset positioning algorithm; screening at least two distance measurement values based on a preset error threshold to obtain a target distance measurement value, where the at least two distance measurement values are measurement values obtained by measuring a distance between each object to be measured and each of a plurality of target base stations for at least two times; and determining a position of each object to be measured according to a multi-target-source Taylor series algorithm, each target distance measurement value and each initial positioning estimated value.

Abstract: The disclosure provides a multi-target position classification wireless sensing method, including: determining channel impulse response of each antenna oscillator in multi-antenna array in receiving sensing signal; calculating delay-angle of arrival spectrum according to the channel impulse response of each antenna oscillator in receiving sensing signal; dividing and classifying path distribution area according to delay-angle of arrival spectrum; for separable path, taking angle corresponding to a maximum amplitude point in ambiguity range of separable path as angle of arrival of separable path, and taking time corresponding to maximum amplitude point in ambiguity range as time of arrival of separable path; and for inseparable path, according to angle ambiguity range and delay ambiguity range of graph including inseparable paths, estimating angle of arrival and time of arrival of each inseparable path in graph of inseparable paths.

Abstract: Provided are a networking signal sending method and device for a positioning network. The method includes: determining a networking mode of the positioning network according to an application scene, wherein the networking mode includes independent networking of the positioning network and joint networking of the positioning network and a communication network; and configuring a positioning base station of the positioning network, or the positioning base station and a communication base station according to the networking mode, wherein the positioning base station is used for sending a positioning signal or the positioning signal and a synchronization signal, and the communication base station is used for sending the synchronization signal.

Abstract: Provided are a balanced wireless sensing method, a communication node, and a storage medium. The balanced wireless sensing method includes determining a delay-Doppler spectrum of a received signal in the current sensing period; jointly partitioning the delay range and the angle range of the sensed received signal, where a joint partition includes a delay partition and an angle partition; and determining an angle traversal step size corresponding to each delay partition and a preset number of sensed objects in each joint partition; for each joint partition, sensing information about at most the preset number of sensed objects in the joint partition according to the delay-Doppler spectrum and the angle traversal step size of the joint partition; determining a trajectory within a sensing range according to information sensed in multiple sensing periods; and determining a moving object according to the trajectory.

Abstract: Provided are a disparity estimation method and apparatus, an image processing device, and a storage medium. The method includes: processing input images based on a first network model to obtain a direct cost volume of the input images, where the input images include a first image and a second image, and the first network model includes a convolutional neural network, a pyramid convolutional network, and a spatial pyramid pooling layer; processing the input images based on a second network model to obtain an associated cost volume of the input images, where the second network model includes a residual network; determining an estimated cost of the input images according to the associated cost volume and the direct cost volume; and calculating an estimated disparity corresponding to the first image and the second image according to the estimated cost.

Abstract: Provided are a protein antigen subjected to site-directed mutation and site-directed modification, and a method for site-directed mutation and site-directed modification of the protein antigen. The method comprises: site-directedly introducing an unnatural amino acid into a specific site of the protein antigen by genetic codon expansion technique; and performing site-directed modification with the protein antigen by the unnatural amino acid and a modifier, wherein the modifier is a receptor agonist such as tripalmitoyl-S-glyceryl cysteine and monophosphoryl lipid A. Further provided is use of the protein antigen subjected to site-directed mutation and site-directed modification, such as use as a vaccine.

Abstract: A method for positioning, an electronic device, a storage medium and a program product. The method may include acquiring a reference image displaying both a target to be positioned and at least one target reference object, acquiring first position information about the target reference object within the reference image, and acquiring relative position information about the target to be positioned relative to the target reference object, in the reference image; acquiring second position information about the target reference object in a pre-generated indoor image; and determining target position information about the target to be positioned in the indoor image according to the first position information, the relative position information, and the second position information.

Abstract: A multi-target trajectory decomposition observation method, which includes: acquiring a sensing signal at a current moment, and sensing location information and signal energy values of respective targets of a plurality of targets based on the sensing signal at the current moment; displaying a plurality of sensing points of the respective targets on a map according to the location information and signal energy values of the respective targets; determining one or more motion trajectories based on the plurality of sensing points displayed on the map at the current moment and a plurality of historical sensing points displayed within a time period before the current moment, where each motion trajectory of the one or more motion trajectories is used to characterize a moving target of the plurality of targets; and decomposing sensed information of one or more moving targets of the plurality of targets that is sensed on one or more channels for outputting.

Abstract: The present application discloses a wireless sensing method, a communication device and a storage medium. The method includes: building a real-time state machine model for a sensing object; and determining an environmental state of the sensing object based on the real-time state machine model.

Abstract: A partition trajectory target sensing method, a communication device, and a storage medium are disclosed. The method may include: performing delay-Doppler spectrum calculation for a received signal of each sensing signal period to obtain comprehensive delay-Doppler spectra of the received signal which include information of all targets, the comprehensive delay-Doppler spectrum includes angle information; performing partitioning, prioritizing, and extraction of the angle information on the comprehensive delay-Doppler spectra to obtain delay-angle-of-arrival spectra of prioritized targets in the partitions; determining a moving trajectory according to timing of the delay-angle-of-arrival spectra of the prioritized targets in the partitions; and determining a moving target according to the moving trajectory.

Abstract: Provided in the present disclosure is a method for sensing synchronization.

Abstract: The present application discloses a sensing method, a receiver, and a storage medium. The sensing method comprises: determining arrival times and arrival angles of a multipath signal at different moments according to the multipath signal received at different moments; determining reflection path attributes of the multipath signal at different moments according to the arrival times and the arrival angles at different moments; obtaining sensing results on a current environment at different moments according to the arrival times, the arrival angles, and the reflection path attributes at different moments; and determining whether the current environment has changed according to the sensing results at different moments.

Abstract: Provided are a method and apparatus for determining a delay compensation value, a device, and a computer-readable storage medium. The method includes: obtaining a channel frequency domain impulse response of a transmit link, where the transmit link is obtained by combining at least two hardware modules in a transmit circuit, obtaining a time domain impulse response according to the channel frequency domain impulse response, and determining a delay compensation value of the transmit link according to a preset condition and the time domain impulse response.

Abstract: The application discloses a sensing method, a receiver and a storage medium. The sensing method comprises: according to multipath signals received at different moments, determining an arrival time and an arrival angle of each of the multipath signals at different moments; according to the arrival times at different moments, obtaining a propagation distance of each of the multipath signals at different moments; according to the arrival angles and the propagation distances at different moments, obtaining sensing results of a plurality of objects in the current environment at different moments; according to the sensing results at different moments, determining whether the positions of the plurality of objects in the current environment have changed.

Abstract: Disclosed are a method and an apparatus for determining time of arrival, a signal receiving device, and a non-transitory computer readable storage medium. The method for determining time of arrival includes: generating time of arrival correction information according to front edge information of theoretical autocorrelation waveforms of positioning signals having different fading values; calculating a front edge slope corresponding to a front edge reference point of a correlation waveform of an actually received signal; and determining target correction information from the time of arrival correction information according to the front edge slope, and determining the time of arrival of the actually received signal based on the target correction information.

Abstract: A method and device for determining a time of arrival (TOA), a terminal device, and a non-transitory computer-readable storage medium are disclosed. The method may include: determining a detection start time on a correlation waveform based on a leading edge detection threshold; determining a noise threshold on the correlation waveform, and determining a quasi-TOA according to the detection start time; and determining the TOA according to data information in a target area of the correlation waveform and the noise threshold, where the target area is determined based on the quasi-TOA and a detection length.

Abstract: Provided are a frequency-domain data merging method and apparatus, a storage medium, and an electronic apparatus. The method includes: respectively performing up-conversion on baseband data of a plurality of frequency bands in a frequency domain, so as to obtain frequency-domain received data of each frequency band from among the plurality of frequency bands that has been subjected to up-conversion; and merging the frequency-domain received data of each frequency band that has been subjected to up-conversion, so as to obtain merged frequency-domain received data.

Abstract: The present application provides a wireless sensing method, comprising: performing modeling according to a sensing signal received by antennas, determining a reference state of a sensing environment; calculating a difference between a current sensing signal and the reference state; and determining, according to the difference, a position parameter of a changing sensing object in the sensing environment. The present application further provides a wireless sensing apparatus, a communication device, and a computer storage medium.