199 results about "Signal tracking" patented technology

The invention relates to the technical field of inertial assistance, in particular to a Beidou high-precision space-time reference dynamic compensation system based on inertial assistance, which is characterized in that an inertial measurement unit module is used for measuring original measurement data, and the original measurement data comprises a carrier phase and a Doppler observation value; the processing unit module is used for fusing the inertial measurement unit, executing real-time environment perception and dynamic modeling, classifying an operation environment and predicting error characteristics; performing an adaptive robust fusion filtering algorithm that dynamically adjusts filter parameters and switches a filter model to estimate the position and attitude of the carrier; and in combination with radio wave precision single-point positioning enhancement service, super-tight combination signal tracking and integrity monitoring are realized, an estimated inertial assistance system state is fed back to a tracking loop of the multi-frequency Beidou receiving module, and real-time fault detection is performed on original measurement data.

The invention discloses an LADRC control system based on a linear expansion tracking differentiator and a parameter setting method of the LADRC control system, according to the control system, the n + 1-order linear expansion tracking differentiator is designed, high-order differential signals are increased, and lagging and estimation errors of a standard LADRC during signal tracking are effectively solved. The problem that overshoot exists in closed-loop transfer function step response after linear LADRC and a control object are combined is solved. The setting method has clear and specific theoretical guidance and clear and reasonable debugging rules, is more suitable for field debugging habits, and avoids the problems of fuzzy parameter interpretation and unclear debugging process caused by a traditional experience setting formula.

The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal, and belongs to the field of gas detection. The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal. The infrared CO2 high-precision detection system comprises a sensing module, a signal conditioning and collecting module and a self-adaptive filtering processing module. According to the method, the problems of contradiction between response speed and stability, discrete signal tracking lag and sensitivity to environmental interference in the prior art are solved, the weight of a filtering channel is adaptively and dynamically adjusted, and the advantages of a fast filtering channel and a slow filtering channel are combined, so that balance between dynamic response and steady-state precision is realized; the problem of tracking lag of discrete signals is solved by analyzing the change rate of the signals in real time and dynamically adjusting a filtering strategy; and through a hybrid filter and an environment compensation algorithm, the influence of temperature and humidity changes on a detection result is reduced, so that the long-term stability of the sensor is improved.

The invention relates to a fault diagnosis method, system and device for a chip test equipment control circuit, and the method comprises the steps: obtaining an operation parameter set of the chip test equipment control circuit, carrying out the abnormal threshold matching, and obtaining a fault classification result; performing power supply dynamic signal tracking on the chip test equipment control circuit based on the fault classification result to obtain power supply deviation data, and extracting a static offset set of the chip test equipment control circuit; performing internal failure association on the power supply deviation data and the static offset set, and performing peripheral failure association identification on the chip test equipment control circuit to obtain a diagnosis data set; and constructing a hierarchical fault tree according to the diagnosis data set, and performing peripheral root cause matching on the chip test equipment control circuit to obtain fault positioning information. According to the invention, the propagation path and the influence range of the fault can be comprehensively analyzed, and the fault positioning accuracy is improved.

The invention discloses a phase-adjustable large-current generator, and the generator comprises a main circuit module, and a topological structure of the main circuit module employs a multi-stage IGBT inverter; the phase control module inputs a power grid voltage signal through a voltage transformer, adopts an SOGI-PLL structure to improve signal tracking precision, and combines a virtual synchronous machine technology to enhance system balance and a self-adaptive control strategy to dynamically adjust an output signal so as to realize phase control and synchronization; the electromagnetic compatibility optimization module adopts a layered shielding design and is combined with an optical fiber to transmit a control signal, so that the electromagnetic compatibility of equipment is improved; a relay protection test integration module, wherein the relay protection test integration module comprises a differential protection test mode and a distance protection test mode; according to the invention, the problems of low phase adjustment precision, poor synchronization stability and insufficient electromagnetic compatibility of a large current generator in a new energy grid-connected environment are solved.

According to the signal tracking method and device, the computer storage medium and the terminal, first tracking related information of a non-CSK modulation signal of a first frequency point is captured and tracked, and second tracking related information of a CSK modulation signal of a second frequency point is determined through the first tracking related information based on association of different modulation signals of the same satellite; the second tracking related information is determined through the first tracking related information of the non-CSK modulation signal, so that the resource consumption of capturing and tracking of the CSK modulation signal is reduced; and on the basis of the obtained second tracking related information, auxiliary tracking of the CSK modulation signal of the second frequency point is realized under the condition of reducing resource consumption.

The invention discloses a frequency hopping signal tracking interference method and device based on time-frequency diagram binaryzation, and the method comprises the steps: collecting a data stream of a target signal in real time, carrying out the data preprocessing of the data stream according to the working frequency band of the target signal, and obtaining narrowband IQ complex data; performing time-frequency analysis on the narrowband IQ complex data to obtain a corresponding time-frequency graph, and performing binarization processing on the time-frequency graph to obtain a binarized time-frequency matrix; and for each frequency point of the time-frequency matrix, detecting a frequency hopping signal by using a double sliding window, if the frequency hopping signal is detected, estimating a corresponding frequency hopping parameter, and then generating an interference signal according to the frequency hopping parameter and outputting the interference signal. According to the invention, tracking interference of the frequency hopping signal can be realized with fewer resources.

The invention provides a method and a device for verifying and debugging a chip algorithm module. The consistency of a C language reference model and a simulation waveform can be automatically compared and tracked. The method comprises the following steps: constructing a verification environment and generating an fsdb waveform and a C language reference model executable file with debugging information; generating a GDB command and an fsdbreport command based on the configuration information, extracting a variable value and a signal value, and performing consistency comparison; if the comparison is consistent, ending, otherwise, entering signal tracking; in signal tracking, a PyNPI interface is called to forward track a driving signal and analyze a signal value matching condition in a clock period; and if the corresponding value is not matched, generating a new configuration file and circularly executing the debugging process. According to the technical scheme provided by the invention, the root of the problem can be automatically tracked and quickly positioned at the initial verification stage of the algorithm module, the dynamic addition of comparison nodes is supported, and the manual debugging cost is reduced.

The invention, which relates to the technical field of the unmanned aerial vehicle, discloses a direction-adjustable unmanned aerial vehicle accessory comprising an environment sensing module, a target tracking module, a control module, a direction adjustment execution wireless communication module and a data storage module. The environment sensing module is composed of a light sensor, a wind direction sensor and a temperature sensor, the image recognition module sub-module and the signal tracking module sub-module are combined, accurate tracking of a target is achieved, the image recognition sub-module can capture and analyze image features of a target object in real time, and the image recognition sub-module can recognize the image features of the target object in real time. Even if target features are changed due to environmental changes, the tracking accuracy can be ensured by dynamically adjusting the weight coefficient of a tracking algorithm and re-determining a feature region and a feature value, meanwhile, the signal tracking sub-module receives a signal sent by a target object, fusion verification is carried out on the signal and an image recognition result, and the tracking accuracy is improved. And the reliability and the stability of target tracking are further improved.

The invention relates to an anti-multipath Beidou antenna design method based on reconfigurable polarization, and belongs to the technical field of satellite navigation and positioning. The method comprises the following steps: fusing data through a distributed sensing and generative adversarial network, and identifying direct and reflected signals by using a decision tree model; constructing a polarization decision model driven by reinforcement learning, and dynamically switching the polarization state of the antenna through a digital phase shifter array, so that the polarization state is matched with a direct signal and mismatched with a reflected signal, thereby realizing multi-path suppression of a polarization domain; a reconfigurable phased array and a digital beam forming technology are combined, a multipath incoming wave direction is predicted, and dynamic null is constructed for spatial filtering; signal tracking and decoupling are carried out by adopting particle filtering and a long-short-term memory network, a vision-inertial navigation cooperation mechanism is introduced, combined suppression and compensation of a dynamic multipath source are realized, and an anti-multipath positioning result is output. And low-cost and high-precision indoor Beidou positioning is realized.

According to the low-orbit satellite signal broadband tracking method based on the square difference phase discriminator, a frequency discriminator and the square difference phase discriminator are designed according to a signal modulation mode of a star network low-orbit satellite, accurate frequency discrimination and phase discrimination can be carried out on star network low-orbit satellite signals, and the low-orbit satellite signal broadband tracking method based on the square difference phase discriminator is obtained. The high accuracy can be kept even in a complex and rapidly changing signal environment; in addition, the method adopts a second-order frequency locking auxiliary third-order phase locking design, so that high-dynamic frequency offset change caused by high-speed movement of a low-orbit satellite of the star network can be processed more effectively, and the stability and the accuracy of signal tracking are ensured. According to the invention, the tracking capability of the satellite network low-orbit satellite signal is obviously improved, stable frequency and phase locking can be realized under a high dynamic condition, reliable receiving and processing of the signal are ensured, a solid guarantee is provided for efficient operation of a satellite network low-orbit satellite system, and an important foundation is laid for development of a future space-ground integrated network.

The invention relates to a high-dynamic time division navigation signal tracking method assisted by adaptive Kalman filtering, and belongs to the technical field of satellite navigation. Aiming at the problems of tracking delay, precision reduction and easy lock loss caused by discontinuous loop update in a high dynamic environment in the existing time division navigation signal tracking method, the method comprises the steps of carrier and code stripping, time-slot error identification, adaptive Kalman filter AKF preprocessing and loop filtering and tracking of three-order FLL-assisted four-order PLL. And full-time-slot continuous tracking is realized. The core of the method is that process noise covariance is adaptively adjusted through AKF, optimal estimation and smoothing are carried out on errors, and then processing is carried out through a post-stage loop filter. According to the method, the tracking continuity, robustness and precision in a high dynamic environment are effectively improved.

The invention discloses a carrier ring auxiliary code delay phase-locked loop tracking method, system and device and a medium, and belongs to the technical field of signal tracking, and the method comprises the steps: obtaining a digital intermediate frequency signal, and constructing a code loop model; executing code tracking through the code loop model to obtain a code phase error measurement value, and determining a relationship between a carrier-to-noise ratio and a noise covariance; a measurement noise covariance matrix model is obtained through combination of a code phase error measurement value and a carrier-to-noise ratio dynamic state and is used for first adjustment of a filter. According to the invention, a measurement noise covariance matrix is dynamically adjusted based on real-time carrier-to-noise ratio estimation, so that the filter can accurately adapt to signal quality change, fully trust an accurate measurement value when a signal is strong, greatly reduce tracking jitter, achieve higher pseudo-range measurement precision, and automatically reduce dependence on the measurement value under noise interference when a signal is weak. In turn, the method depends on smooth prior model prediction.

According to the signal tracking method, the computer storage medium and the terminal, first tracking related information of a non-CSK modulation signal of a first frequency point is captured and tracked, and second tracking related information of a CSK modulation signal of the first frequency point is determined through the first tracking related information based on association of different modulation signals of the same satellite; a capture circuit part during tracking processing of the CSK modulation signal of the first frequency point is omitted, and a tracking processing circuit is simplified; based on association of different modulation signals of the same satellite, third tracking related information is determined through first tracking related information of non-CSK modulation signals, a capture circuit part during CSK modulation signal tracking processing is omitted, and auxiliary tracking of CSK modulation signals of a second frequency point is realized; more than one instant branch in the first radio frequency signal, the second radio frequency signal and the third radio frequency signal is tracked through S correlators, so that the use of the correlators in the signal capturing and tracking process is reduced, and the resource consumption of signal capturing and tracking is further reduced.

The invention discloses a method and a device for designing a multi-anti-interference incremental backstepping observer based on specified time, and belongs to the technical field of signal tracking and processing. The method comprises the following steps: establishing a system dynamics model containing time-varying disturbance and model uncertainty items; scaling the tracking error and the estimation error by using a scaling function so as to realize the accurate convergence of the system state and the disturbance estimation within the specified time T; combining the scaled error, introducing an incremental backstepping control thought, and designing an incremental backstepping observer capable of processing model uncertainty and multiple disturbances at the same time; under the condition that the total disturbance and the derivative thereof are assumed to be bounded, stability analysis is carried out through a Lyapunov function, and constraint conditions of system stability convergence are deduced; and finally, verifying the effectiveness and superiority of the observer under various input and disturbance working conditions through simulation. The method is suitable for a high-dynamic and time-sensitive precision control system.

The invention relates to a satellite navigation signal weak signal tracking loop switching method. The method comprises the following steps: designing a loop filter of a double-frequency phase-locked loop, a loop filter of a double-frequency frequency-locked loop and a loop filter of a pilot component single-frequency frequency-locked loop based on a Kalman filtering algorithm; constructing observed quantity and state quantity of a Kalman filter based on phase discrimination, frequency discrimination and code discrimination results of the B2a signal and the B1I signal; the state quantity output by the loop filter is fed back to a local carrier generator and a composite spreading code generator for error correction; in the filtering process, the adopted loop filter is switched according to the carrier-to-noise ratio, the phase locking detection index and the frequency locking detection index of the two signals, the corresponding loop filter is adaptively selected to complete parameter estimation, loop locking is further carried out, and signal tracking and positioning are achieved.

The embodiment of the invention provides a signal tracking method and device, electronic equipment and a storage medium, and belongs to the technical field of satellite navigation. The method comprises the following steps: determining a reference parameter of a first tracking channel according to a captured to-be-processed signal; synchronizing the reference parameter to a second tracking channel; controlling the first tracking channel and the second tracking channel to perform coherent integration and non-coherent accumulation based on the reference parameters respectively to obtain a first accumulation result and a second accumulation result; and under the condition that the effective accumulation result does not exist, according to the integral result of the coherent integral of the first tracking channel, respectively updating the carrier loop and the code loop of the BPSK signal to obtain an updated reference parameter, and returning to execute the step of synchronizing the reference parameter to the second tracking channel until the effective accumulation result is detected to exist. And generating a to-be-frame-synchronized message based on the effective accumulation result. According to the invention, stable tracking requirements of BPSK and MCSK signals can be compatible.

The invention discloses a receiving system for fusion of multiple meteorological satellites. The receiving system comprises a data receiving subsystem, a data processing and fusion subsystem, a data storage and management subsystem, a data presentation subsystem, a communication and interface subsystem and a satellite signal monitoring and calibration subsystem, the data receiving subsystem comprises an antenna unit, a satellite signal tracking module, a satellite signal demodulation module and a satellite signal decoding module. By integrating a plurality of advanced subsystems, efficient receiving, fusion processing, storage management, presentation display and communication sharing of the multi-source meteorological satellite data are realized, and the requirements of simultaneous receiving and efficient processing of the multi-source heterogeneous meteorological satellite data are met; the problems of poor compatibility and limited fusion processing capability in the prior art are effectively solved, more powerful and comprehensive technical support is provided for development of meteorological services, and the method has remarkable innovativeness and practical value.

The invention particularly relates to a power distribution network fault signal tracking device which comprises a test box installed on a wire, the longitudinal section of the test box is of a semicircular structure, the test box is installed on the wire through a fixing device, a sonic probe is installed on the test box, and a current sensor is installed on the side portion of the test box. The middle part of the current sensor is of an arc-shaped structure, the two ends of the current sensor are of horizontal structures, the two ends of the current sensor penetrate through guide columns, the guide columns are fixedly connected to the top of the test box, and springs are arranged at the bottom of the current sensor and fixedly connected to the bottom of the test box.

The invention belongs to the technical field of physiological state detection, and discloses a multi-mode biological signal acquisition and state recognition system and method. Comprising the following steps: collecting multi-modal biological signal data of a subject and cleaning the data to obtain an original signal data set; carrying out pseudo signal section identification, outputting abnormal fragments, and removing the abnormal fragments to obtain an effective response data set; signal tracking is carried out, a signal discrimination result is output, drift correction is carried out based on the signal discrimination result, and a drift correction data set is output; executing trend completion to obtain a complete feature data set; state judgment reasoning is carried out, modal information weights are output for marking, and a modal marking data set is obtained; performing abnormal label correction to obtain a corrected state recognition sequence; constructing a biological signal recognition strategy based on the corrected state recognition sequence and sending the biological signal recognition strategy to a preset data receiving end; and the accuracy and robustness of multi-modal biological signal acquisition and state recognition are improved.

The present invention discloses a data processing method and a GNSS receiver for memory coding. The GNSS receiver includes a plurality of signal tracking channels, a query module, a management module and a storage module. Each signal tracking channel includes a pseudo-random code generator and a correlator. The memory code is pre-stored in the storage module. The data processing method includes: the management module receives query requests of all signal tracking channels; the management module calls the query module to process the query request in a preset order; the query module queries the coded data in the memory code according to the query request; the query module sends the coded data to the corresponding signal tracking channel; the signal tracking channel uses the pseudo-random code generator and the correlator to calculate the obtained coded data to track the satellite signal. The present invention can solve the problem that the memory coding in the GNSS receiver consumes a lot of storage resources. The memory coding occupies less storage space and the receiver has high computing efficiency.

The present application relates to the technical field of continuous casting and rolling production shear control, and specifically discloses a control method for controlling the weight of a billet based on non-fixed-length calculation of a bar, comprising the following steps: 1) billet tracking during hot charging and straight rolling, ① virtual position triggering, ② flow number transmission, and ③ consistent with cold billet signal tracking technology after the billet enters the rolling line; 2) a calculation method based on non-fixed-length of the bar; 3) the length remaining after the last fixed-length of the rolling line is cut by the fixed-length shear control system, and the billet flow number is uploaded to the industrial internet platform through the PLC control system, and the industrial internet platform issues the adjusted length of the billet; 4) data conversion between the continuous casting primary control system and the industrial internet platform; and 5) length adjustment control of the continuous casting billet. The present application realizes automatic adjustment of the length of the billet, thereby improving the weight accuracy of the billet, reducing or eliminating short-length materials during rolling, and improving the rolling yield.

The invention relates to a sonar target tracking method and system based on a neural network, and the method comprises the following steps: S1, carrying out the beam forming of an array receiving signal, obtaining an azimuth history diagram, determining a target tracking starting point through the automatic energy threshold detection, and carrying out the detection of an energy threshold; tracking by using other tracking methods except a neural network method, such as a particle filtering method or a maximum value tracking method, a Kalman filtering method and the like, and marking a beam position when a target trajectory is continuous; s2, target sample and non-target sample collection ranges of a training neural network are determined according to the beam position of the tracked target, a corresponding beam domain power spectrum is extracted, and after the sample number set in advance is collected, the samples are input into the deep neural network for training. According to the method, the neural network technology is applied to low-frequency detection sonar signal tracking, and the tracking problem under multi-target trajectory crossing can be effectively solved.

The invention provides a method and a system for detecting reference signal attack of a tracking control system, and relates to the technical field of information physical system security. The method comprises the following steps: firstly, designing a remote reference signal tracking controller to ensure that a reference signal sent by a remote control center can be tracked in real time when a measured value of a tracking control system is not attacked; then, tracking errors before and after the tracking control system is attacked by the set point are quantitatively analyzed, a batch data detector is designed based on the change of probability statistical characteristics of the tracking errors before and after the attack, and reference signal attack detection is achieved. According to the method, in the aspect of tracking control, a novel tracking scene is considered, that is, a system reference signal is not generated locally but generated by a remote control center, in the aspect of system detection, a set point attack detection method is provided, and a batch data detector is provided; the method is superior to a detector which performs detection at each time step in the aspects of detection efficiency and resource saving.

An object of the system according to the embodiment is to inscribe memories and remorse with the deceased in cosmic space and feel a connection with the cosmic space.SOLUTION: A system according to an embodiment includes a message reception unit, a data transmission unit, a data broadcasting unit, and a signal tracking unit. The message receiving unit receives a message, an image, and a voice from a user. The data transmission section transmits the message, the image and the voice received by the message reception section to the small satellite. The data broadcasting unit broadcasts the message, the image, and the sound transmitted by the data transmitting unit in outer space. The signal tracker tracks signals emitted by the small satellites.SELECTED DRAWING: Figure 1

This application discloses a receiver positioning method, apparatus, communication system, storage medium, and electronic device, relating to the field of satellite navigation technology. The method includes: determining second information after signal recovery based on first information before signal loss of the satellite; tracking the signal based on a carrier digitally controlled oscillator frequency control word, a code digitally controlled oscillator frequency control word, and a code start point to determine the frequency error; during signal tracking, detecting whether the second code phase is aligned by code phase sliding; and, in response to the frequency error being within a preset range, the second code phase being aligned, and carrier synchronization, performing navigation calculations based on code epoch values ​​and the tracked third code phase to position the receiver. This application solves the technical problems in related technologies where repositioning of lost-lock signals cannot be achieved in weak signal scenarios, and the repositioning time is slow.

The invention discloses a target intelligent tracking method, device and equipment based on multifunctional loop fusion, a storage medium and an unmanned aerial vehicle, and the method comprises the steps: determining image motion feature data of a motion process according to a tracking video collected by a video tracking device of the unmanned aerial vehicle for the motion process of a target object, determining signal motion characteristic data of the motion process according to a tracking signal acquired by a signal tracking device of the unmanned aerial vehicle for the motion process; determining adjustment motion feature data of the motion process through reciprocal enhancement of the signal motion feature data to the image motion feature data; and controlling the flight state of the unmanned aerial vehicle according to iterative reasoning of the adjustment motion feature data and the signal motion feature data in the annular attractor network. Through information fusion of a reciprocal enhancement technology and an annular attractor network, accurate target tracking in a high-speed motion scene is realized, and the problems of high delay and large error when an unmanned aerial vehicle tracks a target object are solved.

To provide a method and a system for observing signal tracking in a technical field of signal processing.SOLUTION: A plurality of signal observation windows are provided, each displaying a signal with an independent signal display attribute. When one or more observation signals to be tracked are selected from a signal database, the selected observation signal is displayed with a signal display attribute associated with a first signal observation window. When a second signal observation window is designated with an object of the observation signal to be tracked being selected, the selected observation signal is displayed with a signal display attribute associated with the second signal observation window. Furthermore, in the second signal observation window, an observation mode of the object is modified. The modification of the observation mode includes changing a display attribute of the object.SELECTED DRAWING: Figure 14

This invention relates to a method and system for monitoring and enhancing the power of GPS P(Y) signals based on civilian signal tracking. The method employs a carrier tracking loop to stably track civilian satellite navigation signals, generating a local carrier with the same frequency and phase as the GPS satellite navigation digital signal. The GPS satellite navigation digital signal is then orthogonally mixed with the local carrier to output the in-phase branch signal u. I (n) and the orthogonal branch signal u Q (n); the in-phase branch signal u I (n), Orthogonal branch signal u Q (n) Perform low-pass filtering and incoherent integration respectively to obtain the average power P of the baseband signal in the in-phase branch. IB Average power P of baseband signal in orthogonal branch QB The average power P of the baseband signal in the same phase branch IB Average power P of baseband signal in orthogonal branch QB The power enhancement state of the current P(Y) signal is determined by comparing it with the weak-state power threshold of the in-phase branch, the strong-state power threshold of the in-phase branch, the strong-state power threshold of the quadrature branch, and the weak-state power threshold of the quadrature branch.

The application discloses a discontinuous random time hopping pulse pseudolite signal tracking method based on carrier phase correction, and belongs to the field of satellite navigation auxiliary enhancement. The method first down-converts the received pseudolite signal to an intermediate frequency by using a receiver local oscillator; then carries out effective time slot signal interception and invalid time slot interference cutting on the pseudolite signal converted to the intermediate frequency by using a random time hopping pulse generation and control module in the receiver; then generates a carrier phase correction value of the signal in the effective time slot by using the pulse position information provided by the random time hopping pulse generation and control module and the carrier Doppler information fed back by the rear end; then further generates a cosine and sine result of the carrier phase correction value, and uses the result to continuously correct the carrier phase instantaneous value in the effective time slot; finally, the method realizes accurate tracking on the pseudolite signal after carrier phase correction by using a delay lock loop and a phase lock loop.