6 results about "Recursive filter" patented technology

This invention relates to the field of spacecraft attitude control technology, and more particularly to an ultra-precise and ultra-stable on-orbit adaptive control method and system for pointing under additional stiffness disturbances. This on-orbit adaptive control method, by applying specific excitations to actuators and measuring their responses, combined with a recursive filtering algorithm, can accurately identify the total actuator stiffness, including the additional stiffness of the cable, in real-time on-orbit, overcoming problems caused by differences in ground testing environments and time-varying stiffness. Based on the real-time identified stiffness values, the parameters of the axial compensation controller and the actuator compensation controller are dynamically adjusted, enabling the control system to adapt to changes in the additional stiffness of the cable and maintain excellent control performance at all times. By employing dual compensation control at the axial load level and the actuator level, additional stiffness disturbances are synergistically suppressed at both the overall system and local actuator levels, improving the comprehensiveness and accuracy of control, and achieving ultra-precise and ultra-stable on-orbit adaptive control for pointing under cable additional stiffness disturbances.

The application discloses a method for electronic countermeasure cooperative jamming suppression in a frequency offset scene, which comprises the following steps: S1. At the jammer, after the interference data x(n) is converted by a digital-to-analog converter and up-converted, a transmission jamming signal is generated and transmitted; S2. At the authorized receiver, after the jamming signal is transmitted through a wireless channel, the jamming signal is received simultaneously with an expected signal, down-converted to obtain a baseband receiving signal, and analog-to-digital converted to obtain a baseband digital signal; S3. The baseband receiving signal is expressed in a matrix form; S4. The fast-changing cooperative jamming joint channel coefficient is estimated, and the cooperative jamming is reconstructed and cancelled to complete the interference suppression. The application can effectively cancel the cooperative jamming under a frequency offset multipath channel, and does not need to accurately estimate the frequency offset value, but sets a frequency offset value interval, and uses multiple adaptive recursive filters in parallel to estimate the cooperative jamming coefficient.

This invention discloses an optical communication signal processing method and apparatus. The interference suppression method includes performing a first-stage recursive filtering process on the received signal after photodetection using a first smoothing factor to extract a first component of the interference signal, and then using this component to perform a first-stage interference cancellation process on the received signal to obtain a first-stage correction signal. This recursive filtering configuration can effectively extract and eliminate multipath interference in the optical communication system, while requiring minimal computational resources and power consumption. This significantly improves the reception quality and bit error rate performance of the optical communication system while significantly reducing the computational complexity and power consumption during high-speed computation.

The application provides a recursive filtering method for a state-saturated system based on a high-speed network under the influence of a deception attack. The method specifically comprises the following steps: constructing a dynamic model of a state-saturated system to be studied, wherein the dynamic model comprises a system state and a measurement output model, and conditions that functions in the dynamic model satisfy are set; constructing a new measurement model based on a high-speed network and a random deception attack according to the measurement output model, and setting constraints that the deception attack satisfies; designing a state-saturated recursive filter according to the dynamic model and the new measurement model; obtaining a filtering error dynamic equation according to the system dynamic model and the filter model, and calculating a filtering error covariance upper bound; obtaining an optimal filter gain by minimizing the filtering error covariance upper bound; and verifying the effectiveness of the recursive filtering method through a numerical simulation example. The simulation experiment verifies the effectiveness of the proposed recursive filtering method, and the method is suitable for online calculation and exhibits good real-time performance.

This application relates to the fields of industrial automation control and wireless communication technology, and discloses a 4G real-time transmission system for the operation data of a metallurgical remote-controlled rail locomotive. The system includes an onboard terminal layer, a 4G transmission network layer, and a ground control layer. The onboard data acquisition unit uses an embedded microprocessor to construct a discrete state-space model and performs recursive filtering on sensor data to output standard physical quantities. The 4G transmission unit communicates encrypted with the ground via a dedicated APN channel and the MQTT protocol. The ground data processing server executes instruction and data co-verification logic, quantifies service execution deviations to assess link quality, and triggers QoS adjustments or dual-link redundant transmission accordingly. Furthermore, the system utilizes a local ring buffer and cross-transmission mechanism to dynamically adjust the retransmission rate based on signal strength after network recovery. This invention effectively filters out noise in the industrial environment and solves the problems of difficulty in identifying hidden connection faults and the blockage of real-time channels by historical data retransmission.

The application provides a kind of tubing leak detection method and system based on maximum entropy unscented Kalman filtering under coding and decoding mechanism, belong to tubing leak detection field.To solve the problem that the existing oil pipeline leak detection method lacks in detection and positioning accuracy of leakage point due to nonlinear characteristics, non-gaussian noise and limited transmission channel.The application establishes the dynamic model of oil pipeline system, introduces dynamic coding and decoding mechanism to construct recursive filter structure;Using unscented transformation to get priori estimation and error covariance;Then calculate the upper bound matrix of estimation error covariance by matrix inequality, introduce the maximum correlation entropy index to calculate the estimation error and gain matrix;Finally, by setting virtual leakage point to estimate leakage, to determine whether the pipeline leaks and locate the leakage point.Simulation results show that the application can effectively cope with real-time and reliability challenges under complex working conditions, and provides an efficient state estimation method for oil pipeline leak detection.