177 results about "Channel gain" patented technology

The invention discloses a method for estimating the safety communication rate of a near-earth satellite by using an SDFS cooperating with a GLRT. The method comprises the following steps: constructing a communication system model between the near-earth satellite and a ground terminal; analyzing the signal and channel characteristics, and obtaining the distance between the nodes, the channel gain and the received signal distribution; under the condition that the transmitting power of each monitoring party is unknown, estimating the transmitting power by adopting generalized likelihood ratio test, and independently executing the generalized likelihood ratio test based on the observation data of each monitoring party; the superior manager performs joint judgment based on a soft decision fusion scheme in combination with the generalized likelihood ratio test result of each monitoring party and a joint threshold so as to estimate the detection error probability of the monitoring party; a joint optimization strategy of the transmitting power and the number of continuous transmission time slots is constructed, and the total throughput of the system is maximized under the condition that the cooperative concealment constraint is met; according to the invention, an innovative solution is provided for reliable communication of the near-earth satellite in a complex monitoring environment.

The application discloses an online error calibration method for a hemispherical resonator gyro based on frequency superposition, which solves the problem that the traditional error calibration method for a hemispherical resonator gyro cannot realize online calibration of gain error, bias angle error and phase error in the same working mode. The application utilizes high-frequency cosine and sine reference signals to demodulate two-channel detection signals and extract high-frequency components in the detection signals. Subsequently, an associated model is established by using the high-frequency cosine and sine given control signals and the demodulated signals to realize online identification of the gyro error, and the identification result is applied to online calibration of the channel gain error, bias angle error and phase error, thereby enhancing the anti-interference ability of the hemispherical resonator gyro under variable temperature conditions. The application is mainly used for simultaneous online calibration of the channel gain error, bias angle error and phase error.

The invention relates to a super-surface array multi-user interference suppression method based on deep learning, and the method comprises the steps: obtaining the initial channel observation information of an environment where a super-surface array is located, and obtaining a complex channel gain matrix between a transmitting end and a plurality of receiving ends; based on initial channel observation information and a historical time sequence channel sample, inputting the initial channel observation information and the historical time sequence channel sample into an interference mapping network constructed based on a Transform structure, and predicting to obtain an inter-user interference distribution diagram at the next moment; according to the inter-user interference distribution diagram and the reflection coefficients of the metasurface units, a joint optimization objective function construction strategy network is constructed, a current channel state vector serves as input, the reflection phase of each metasurface unit is output, and a reflection coefficient moment used for minimizing an objective function is generated; feeding back indexes according to the system performance after the deployment of the reflection coefficient matrix; and dynamically configuring the metasurface unit based on the reflection coefficient matrix. According to the invention, the multi-user interference suppression effect of the metasurface array can be improved.

The invention relates to the field of communication, in particular to a method for delivering cache content of a mobile edge computing network for energy consumption optimization. For a cache-based MEC cellular network, the method reasonably utilizes user movement information, and calculates corresponding path fading, channel gain and shadow fading by utilizing future position information of a user. Determining the minimum transmission power by using the calculated channel gain and path fading, then setting a time slot, carrying out content delivery decision on data packets requested by different users, and allocating wireless communication resources; and with minimization of the total emission energy consumption of the base station as a target, modeling a cache content delivery problem into a mixed integer programming problem to carry out optimization solution so as to obtain an energy consumption minimization decision for the base station to deliver all data packets.

The invention provides an audio channel load distribution method and system. The method comprises the following steps: acquiring audio signals and audio channel load data corresponding to a plurality of audio channels; dividing the plurality of audio channels to obtain a main channel group, an auxiliary channel group and a standby channel group; for any one audio channel, the following steps are executed: obtaining an audio channel gain based on an audio channel load data audio signal, and limiting the channel gain corresponding to the audio channel to a preset gain threshold based on the audio channel gain; and acquiring main channel real-time load data, and when the main channel real-time load data exceeds the first preset load threshold value, distributing the main channel real-time load data until the main channel real-time load data is lower than the second preset load threshold value, thereby realizing balanced distribution of the audio channel load. According to the audio channel load distribution method and system provided by the invention, an audio channel overload phenomenon is avoided, and self-adaptive adjustment of audio channel gains and dynamic allocation of audio channel resources are realized.

The invention discloses an optimal concealment rate optimization method based on a time slot cognitive star-air-ground fusion network, and the method comprises the steps: firstly, enabling a satellite to select an unmanned aerial vehicle relay with the maximum channel gain as a forwarding unmanned aerial vehicle relay through the instantaneous channel state information of a link between an unmanned aerial vehicle relay and a satellite; in a second time slot, by means of a main link between the forwarding unmanned aerial vehicle relay and the main user, the forwarding unmanned aerial vehicle relay overlays the hidden message sent by the satellite to the NOMA secondary user with the message of the main user and then forwards the message downwards; a closed expression of a detection error probability, an interruption probability and an effective hiding rate of an eavesdropper is deduced, a power optimization problem is constructed and solved, and the effective hiding rate of two-hop hiding transmission is maximized by optimizing a power distribution factor. According to the method, the concealment performance of the cognitive star-sky-ground fusion network can be remarkably improved.

The invention discloses a multichannel broadband receiver, and belongs to the technical field of microwave radio frequency and electronic control, the multichannel broadband receiver comprises a multichannel down-conversion assembly, a local oscillator power component, a power interface control panel and a VPX connector, the down-conversion assembly adopts a cavity-divided integrated structure, multiple identical radio frequency links are arranged in the same cavity in parallel, and the VPX connector is connected with the local oscillator power component. Down conversion from a 2-18GHz radio frequency signal to a 1.3-2.3 GHz intermediate frequency signal is realized through two-stage frequency mixing; the power supply interface control board takes an FPGA as a core, integrates the functions of multi-path power supply conversion, driving isolation, state monitoring and the like, and realizes channel gain power failure storage and calling, BIT self-inspection, nanosecond rapid turn-off and multi-parameter real-time monitoring through software and hardware cooperation. Through collaborative innovation of the structure, circuit and control, high integration, high channel consistency, high isolation and high intelligence of the multi-channel receiver are realized, and the multi-channel receiver is suitable for the fields of high-performance radars, electronic countermeasures and the like.

The invention provides a robust hybrid beam forming method for cooperative communication of multiple low-orbit satellites, which relates to the technical field of satellite communication and comprises the following steps of: S1, constructing a joint optimization problem for joint beam forming and user scheduling; s2, the minimum channel gain of all users is maximized, when the number of satellite antennas is larger than a preset threshold value, the step S3 is executed, and otherwise, the step S5 is executed; s3, constructing a minimum signal to interference plus noise ratio maximization problem, and solving to obtain an optimal all-digital precoding matrix; s4, based on the optimal all-digital precoding matrix, constructing a digital-analog hybrid precoding matrix design problem to obtain a digital-analog hybrid precoding matrix; and S5, constructing and solving an analog pre-coding matrix design problem based on maximization of the signal leakage and noise ratio to obtain an optimal analog pre-coding matrix, and then solving an optimal digital pre-coding matrix. According to the invention, the overall performance and the service quality of the multi-low-orbit satellite communication network can be obviously enhanced.

The invention provides a large-scale low-orbit constellation topology construction method and system based on the reliable reachable distance of an optical transceiver and a storage medium, and the method comprises the steps: 1, building an inter-satellite laser link probability evaluation model based on the capturing probability of an aiming-capturing-tracking system and the motion characteristics of satellites; 2, on the basis of the inter-satellite laser link probability evaluation model, constructing a giant satellite network topology evaluation model with inter-satellite link time average stability, satellite hop count and communication time delay as core optimization targets, and outputting a globally optimized laser link connection scheme; and 3, for a laser link connection scheme, proposing a giant constellation network topology design algorithm based on a capture probability, and constructing a constellation topology by adopting a minimum unit of a space symmetric constellation. The method has the beneficial effects that the constellation topology is constructed by adopting the minimum unit of the space symmetric constellation, so that the topological structure is stabilized, the channel gain is improved, the end-to-end delay is shortened, and the average hop count and the variance of the network are reduced.

A double-lane millimeter wave vehicle networking safety transmission method, system, device and medium based on STAR-RIS, the method comprising: constructing a STAR-RIS assisted double-lane millimeter wave vehicle networking communication scene; based on the propagation characteristics of millimeter wave signals, combining the channel fading characteristics under the conditions of line-of-sight and non-line-of-sight transmission and the transmission and reflection functions of STAR-RIS, calculating the channel gain of the cascaded channel of the STAR-RIS assisted link; based on the random geometry theory, respectively calculating the probability density functions of the associated distances of the direct link, the STAR-RIS reflection link and the STAR-RIS transmission link; constructing a dynamic link association strategy supporting ternary selection; establishing a signal-to-interference-and-noise ratio model under three association modes; combining the physical layer security performance index definition, calculating the closed-form analytical expressions of the connection interruption probability and the secrecy interruption probability, and verifying the security gain of STAR-RIS; the present application has the advantages of effectively overcoming the half-space coverage blind area of the traditional reflective RIS, and improving the link connection reliability and physical layer safety transmission performance under the double-lane complex shielding environment.

This invention relates to the field of optical communication, providing a method, system, device, product, and medium for optimizing the energy efficiency of multi-access point optical communication. The method includes: calculating the link channel gain to obtain the composite channel gain; obtaining the received energy at the receiver; establishing a nonlinear received energy expression based on the received energy; constructing a battery dynamics model using the nonlinear received energy expression to obtain device energy constraints; establishing a arrival Markov matrix and a service Markov matrix based on the number of participating communication devices and their obstruction states; calculating the arrival martingale and service martingale; calculating the queue length change based on the arrival martingale and service martingale; establishing a delay default probability inequality through the queue length change to obtain an upper bound on the delay default probability; establishing communication optimization constraints; constructing a multivariate optimization equation; solving the multivariate optimization equation based on the communication optimization constraints to obtain communication optimization parameters; and optimizing the optical communication using these communication optimization parameters.

The invention discloses a channel estimation method of a time-varying channel in a time delay-Doppler domain pilot mode, which comprises the following steps of: superimposing a hybrid superimposed pilot and a data symbol in a time delay-Doppler domain, the pilot comprising a high-power center pilot and a low-power edge pilot; the signal is converted to a time domain through inverse symplectic Fourier transform and Hisenberg transform; a receiving end obtains a receiving signal through Wigner transform and Sextile Fourier transform; estimating integer time delay and Doppler taps by using a center pilot frequency, and constructing a sparse channel matrix; estimating fractional Doppler and channel gain through a sparse Bayesian learning algorithm; and detecting a data symbol based on a minimum root-mean-square error algorithm, and realizing accurate estimation of channel parameters through iterative interference elimination. According to the method, the peak-to-average power ratio and the algorithm complexity can be effectively reduced, and non-correlation channel components and cross interference are inhibited.

In various embodiments, a computer-implemented method includes: acquiring, by a computing device, measured audio data at a first location, the measured audio data including a plurality of reference sounds for a plurality of audio channels generated by a plurality of audio output devices; determining, for each audio channel of the plurality of audio channels, an audio channel gain value based on the measured audio data; and transmitting the audio channel gain values for the plurality of audio channels from the computing device to a speaker controller, the audio channel gain values being usable by the speaker controller to modify audio channels provided to the plurality of audio output devices to reproduce an audio signal.

The application discloses a kind of self-adapting array microphone cascade mixing methods, applied to microphone cascade mixing system, belong to communication technical field.Microphone cascade mixing system includes synchronization module, channel gain equalization estimation module and adaptive mixing module, synchronization module is connected with channel gain equalization estimation module by multiple channel one communication, channel gain equalization estimation module is connected with adaptive mixing module by multiple channel two communication, synchronization module is connected with adaptive mixing module by multiple channel three communication;First microphone array device is connected with synchronization module by Ch0 channel, …, Nth microphone array device is connected with synchronization module by Ch (N-1) channel.By setting synchronization module, channel gain equalization estimation module and adaptive mixing module, and using two-stage phase level synchronization processing, mixing synchronization processing, so that the application can realize volume equalization, target speech enhancement, signal quality optimization and other multiple beneficial effects.

This invention discloses a method for adjusting the active port, calculating the interruption probability, and calculating the interruption rate of shortwave communication based on a manifold antenna system in the field of wireless communication technology. The method includes: obtaining the architectural parameters of the target manifold antenna system, which include N ports uniformly distributed along a linear dimension W, each port sharing a common radio frequency link; calculating the instantaneous channel gain of each port; and selecting the port with the maximum instantaneous channel gain as the active port for shortwave communication. By introducing a manifold antenna, this invention achieves dynamic spatial adaptability within a limited area. Unlike traditional arrays with static elements, the FAS utilizes spatial diversity through real-time reconfiguration of antenna positions, eliminating the need for multiple radio frequency links. It also utilizes ionospheric reflection to establish beyond-line-of-sight connections. The FAS dynamically adjusts its active port to optimize reception from different refraction points, mitigating the inherent fading and signal attenuation of high-frequency skywave channels.

The application relates to the technical field of underwater acoustic communication, and discloses a method and system for dynamically allocating resources of an underwater voice communication system. The method comprises the following steps: setting a multi-user priority strategy according to a formation modular grouping; adopting a hybrid access mechanism of fusion of time division multiple access and carrier sense multiple access / collision avoidance, dividing communication channels into inter-group time slots and intra-group time slots, and competing for access to idle sub-carrier clusters in the time slots through a CSMA / CA mechanism; predicting a future state of an underwater acoustic channel; based on the predicted future state, adaptively switching a modulation and coding scheme according to a preset signal-to-noise ratio threshold; distributing sub-carrier bands to users with the largest channel gain based on a channel gain matrix; and combining the multi-user priority strategy, the hybrid access mechanism and the modulation and coding scheme to jointly optimize and distribute sub-carriers, bit loading and transmission power. Through dynamic resource allocation and adaptive transmission optimization, the application effectively improves the resource utilization rate and transmission quality of underwater voice communication.

A method is disclosed of selecting users for multi user multiple-input multiple-output (MU-MIMO) communication from an initial set of potential users. The method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. The method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. The channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. The performance metric may comprise one or more of: a sum-rate, a per-user-rate, an average error rate, a maximum error rate, a per-user error rate, and a sum-correlation. Corresponding apparatus, network node and computer program product are also disclosed.

The application discloses a satellite large-scale MIMO beam structure downlink precoding method and uplink detection method. In the beam base channel model established by the application, the scaling direction cosine is uniformly sampled and quantized, and the uplink / downlink beam matrix is constructed, the space domain channel vector is expressed as the product of the equivalent uplink / downlink channel gain, the uplink / downlink beam matrix and the diffusion vector. Based on the downlink / uplink beam base channel model, the statistical channel information is used to design the downlink precoder / uplink detector under the beam structure, and the high-dimensional space domain precoder / detector design is converted into the low-dimensional beam domain precoder / detector design. Using the designed precoder and detector, low-complexity downlink precoding transmission processing and uplink receiving processing are respectively carried out. The application fully utilizes the sparse characteristics of the satellite channel, guarantees the uplink and downlink ergodic and rate performance of the satellite large-scale MIMO system, and effectively reduces the design and implementation complexity of the precoder and the detector.

The invention relates to a resource allocation method and device for a multi-user orthogonal frequency division multiplexing system. The method comprises: sending a channel assessment message carrying a pre-configured channel assessment frame to a plurality of user nodes, the channel assessment message being used for indicating each user node to perform channel assessment according to the received channel assessment frame, and feeding back an average channel gain and an average signal-to-noise ratio obtained by assessment to a main node, the pre-configured channel evaluation frame is obtained based on configuration of a preset orthogonal frequency division multiplexing symbol sequence; receiving an average channel gain and an average signal-to-noise ratio fed back by each user node; and for each user node, determining a target bit number and target sending power allocated to the user node according to the average channel gain and the average signal-to-noise ratio fed back by the user node, generating a channel resource configuration frame according to the target bit number and the target sending power, and sending the channel resource configuration frame to the user node. By adopting the method, the calculation complexity of resource allocation can be reduced.

The invention provides a channel gain map reconstruction method based on a k-nearest neighbor refined neural network, relates to the technical field of wireless communication, and has the technical key points that the invention provides a two-stage CGM reconstruction framework under a sparse regular grid sampling condition, and in the stage 2, local learning is carried out during query to refine prediction, so that explicit decoupling and robust extrapolation are realized. K nearest neighbors are selected from a total sample by adopting a global k nearest neighbor thought which is not constrained by a clustering boundary, spatial continuity is preferentially utilized, and k nearest neighbors in a cluster which can be used as a contrast are selected only in the same cluster. The whole process does not depend on LoS / NLoS labels or high-cost environment prior, the CGM can be reconstructed only by regular grid sampling measurement, and high-precision benefits are kept under different sampling interval values d and k. On the premise of not increasing expensive measurement and label cost, the MSE of CGM reconstruction is obviously reduced.

The invention discloses a channel gain correction method and system for a multi-channel detector, and relates to the technical field of nuclear radiation detection. The method comprises the following steps: collecting original event data by using a multi-channel detector; energy of all channels triggered by the same event is obtained through action time judgment; calculating the total energy value of each event through the energy of each channel to which each event belongs, counting all events, constructing the total energy spectrum of the channel events, setting an energy screening window according to the position of a photoelectric peak in the total energy spectrum, and reserving the events in the energy screening window as an effective event set; performing channel gain coefficient correction by using an iterative algorithm, and monitoring the energy resolution in real time until convergence; and performing channel-level gain compensation on all original event data by using the finally obtained gain coefficient, and outputting and displaying a corrected energy spectrum and a gain distribution diagram. After gain correction, the energy resolution and the position resolution of the detector can be remarkably improved, and the imaging quality and the quantitative accuracy of the system are improved.

The application discloses a kind of movable antenna cooperation NOMA's user downlink system optimization method and system, belong to wireless communication technical field.Its method includes: obtaining the position of user movable antenna and the receiving path of user to base station link;Calculate the channel gain between user and base station;Calculate the signal-to-noise ratio of user, calculate the mobile energy consumption of user movable antenna;According to the mobile energy consumption of user movable antenna and the transmission power allocated to user, the objective function of system total energy consumption model is constructed, according to the signal-to-noise ratio of user, user mobile area, the channel gain order between user and base station, the transmission power order allocated to user, the constraint of system energy consumption model is constructed;System total energy consumption model is converted into convex optimization problem, and the transmission power allocated to user after optimization and the position of user movable antenna after optimization are obtained.The application can realize the performance improvement of system, and solve the complexity brought by optimization problem simultaneously.

The application discloses a multi-granularity and multi-level computing power scheduling method in an end-side computing power network, which comprises the following steps: deploying an online deep reinforcement learning agent and a system state monitoring module on a base station side; detecting and collecting channel states and computing resources and sending them to the deep reinforcement learning agent; outputting a task segmentation strategy of each user and a scheduling decision of each subtask; a task-type device (TD) segments tasks according to the instruction and schedules the tasks to target computing nodes according to the instruction for parallel processing; the task-type device (TD) receives the computing results of all the subtasks scheduled out in parallel; and the scheduling method segments the tasks of each user in multiple granularities according to current system state information, including channel gain, idle resources provided by a resource-type device (RD) and resources allocated to each user by an edge computing server, and schedules the segmented subtasks to suitable computing nodes in parallel, so that the execution time delay of an application program is further shortened by taking advantage of parallel execution.

The invention relates to the technical field of wireless communication, in particular to a double decision D2D access algorithm based on user QoS and system performance. According to the double-decision D2D access algorithm based on the user QoS and the system performance, firstly, interference between cellular users is eliminated through zero-forcing precoding; on this basis, an iterative access process including interference sorting and double judgment is executed: a candidate D2D pair with the minimum sum of squares of channel gains for all current served users is selected from non-accessed D2D in each round; then carrying out first judgment to ensure that the signal to interference plus noise ratios of all cellular users after access are not lower than the QoS thresholds of the cellular users; and second judgment is carried out after passing, the total rate of the system after access is calculated and verified to be strictly greater than the rate before access, and the D2D is accessed and the system state is updated if the double judgment is passed. According to the method, on the premise of strictly guaranteeing the QoS of the cellular users, the total capacity of the system is effectively improved in a low-complexity mode, and the D2D access number and the overall performance of the network can be intelligently balanced.

The invention belongs to the technical field of wireless communication and perception integration and physical layer secure transmission, and relates to an MPC-enabled RIS unmanned aerial vehicle communication system and a secure communication resource allocation method, and the system comprises a base station, an RIS unmanned aerial vehicle platform, a legal communication user and an eavesdropper. The base station is a dual-function base station provided with a uniform linear array antenna, and the RIS unmanned aerial vehicle platform is provided with a reflection unit plane array; direct line-of-sight links do not exist between the base station and the communication user and between the eavesdroppers, the base station points a wave beam to the RIS unmanned aerial vehicle platform, and the wave beam points to the communication user and the eavesdroppers after being subjected to phase modulation by the RIS unmanned aerial vehicle platform; the beam pointing to the eavesdropper is reflected and returned to the base station through phase modulation of the RIS unmanned aerial vehicle platform for sensing the position of the eavesdropper; according to the method, the three-dimensional track is dynamically adjusted through the RIS carried by the unmanned aerial vehicle, when the base station-user direct connection link is blocked, the communication link is reconstructed in real time, the network coverage range is expanded, the channel gain is improved, and the communication reliability of legal users in a complex environment is guaranteed.

The invention discloses a multicolor LED built-in IC multicolor color linkage control system and a multicolor LED built-in IC multicolor color linkage control method, relates to the technical field of embedded control and communication driving of addressable multicolor LED pixel unit lamp strips or lamps, and is used for solving the problems that linkage multicolor is easy to jump and flicker at a hue boundary and the color consistency between pixel units is difficult to maintain for a long time. Resetting and enumerating the serially connected pixel units by the master control, loading channel gain, gamma and current calibration parameters, and establishing linkage object mapping and coupling weight; generating a target color on an HSV track according to a control period, and suppressing kick at a hue boundary through vector synthesis and weight gating; and then calibration quantization, frame sealing and protocol coding sending are completed, regional fantasy colors are achieved, and closed-loop calibration is carried out in combination with current or optical feedback.

The application relates to a low-power-consumption energy efficiency optimization method for a power ad hoc network, a power system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: based on a power intelligent sensor network, an energy collection model and a signal-to-noise ratio model are constructed; according to the energy collection model and the signal-to-noise ratio model, a target function is constructed with the maximum network energy efficiency as a target, and constraint conditions of the target function are set; a polyhedral model is constructed, sample data of an independent and identically distributed imperfect channel state are used to learn the polyhedral model, and channel gain information is output; according to the channel gain information, the target function is solved based on the constraint conditions of the target function, distribution power of each pair of sensors on different sub-channels and binary selection information of each pair of sensors on the sub-channels are determined, and a resource allocation scheme is obtained. The method can reduce the influence of imperfect CSI, maximize the network throughput, and guarantee the energy efficiency and data transmission quality.

The invention relates to a multi-beam satellite communication system resource allocation method, and belongs to the technical field of wireless communication. The method comprises the following steps: S1, modeling a multi-beam satellite communication scene; s2, modeling inter-satellite and satellite-ground link identifiers; s3, modeling inter-satellite and satellite-ground link channel gains; s4, modeling inter-satellite and satellite-ground link transmission rates; s5, modeling a queue length; s6, modeling a resource allocation constraint condition; s7, modeling a multi-beam satellite communication system data scheduling problem as a Markov decision process; s8, constructing and training a near-end strategy optimization network; s9, determining a precoding strategy based on a weighted minimum mean square error algorithm; and S10, optimizing and determining a data scheduling strategy based on a PPO algorithm. According to the method, the long-term performance optimization of the system is realized through joint optimization of data scheduling and precoding.

The invention discloses a collaborative improvement method and system for dynamic measurement key performance of an optical fiber current transformer. The method comprises the following steps: constructing a first mathematical model of forward channel gain and step response rise time; constructing a second mathematical model of forward channel gain and overshoot; constructing a third mathematical model of the common noise and the signal-to-noise ratio of the optical fiber current transformer system, and according to the first mathematical model and the second mathematical model, carrying out dual-target optimization by taking the forward channel gain as an independent variable and taking the minimum overshoot and step response as targets, determining the optimal forward channel gain, and realizing the minimum dynamic measurement performance (overshoot and step time) of the system; by taking an independent variable forward channel gain value obtained through optimization as a constraint condition, improving the target of maximizing the third mathematical model, and guiding the design of the optical fiber current transformer according to an optimization result, the optical fiber current transformer can be effectively ensured to have a relatively high signal-to-noise ratio while having good dynamic measurement performance; and the measurement performance of the optical fiber current transformer is improved.

The invention discloses a downlink precoding method and an uplink detection method for a satellite large-scale MIMO beam structure. In a beam-based channel model established by the method, uniform sampling quantization is carried out on a zoom direction cosine, an uplink / downlink beam matrix is constructed, and a spatial domain channel vector is expressed as a product of an equivalent uplink / downlink channel gain, the uplink / downlink beam matrix and a diffusion vector. Based on a downlink / uplink beam base channel model, a beam structure downlink precoder / uplink detector is designed by using statistical channel information, and the design of a high-dimensional space domain precoder / detector is converted into the design of a low-dimensional beam domain precoder / detector. And respectively carrying out low-complexity downlink precoding sending processing and uplink receiving processing by using the designed precoder and detector. According to the method, the sparse characteristic of a satellite channel is fully utilized, and the design and implementation complexity of the precoder and the detector is effectively reduced while the uplink and downlink traversal and rate performance of the large-scale MIMO system of the satellite are ensured.