4results about How to "Effective compensation" patented technology

The invention relates to the technical field of underwater target detection, and discloses an underwater environment real-time lightweight target detection method and a readable storage medium, and the method comprises the steps: improving a standard YOLOv11n model, employing a C3-CPMSFA module, fusing global context information and multi-scale local features, and combining with a partial convolution strategy to achieve efficient feature extraction; feature processing is expanded to a frequency domain by using a C2SFA module, space-frequency joint adaptive sensing is realized by using a dynamic frequency domain mask, and back scattering noise is accurately filtered out; and semantic noise reduction and small target enhancement are realized through multi-scale feature progressive fusion and depth separable convolution by using an auxiliary head. According to the method, the accuracy and robustness of underwater small target detection are remarkably improved while light weight and real-time performance are kept.

A rotating magnet magnetic field vector interference compensation method based on adaptive spectrum tracking, comprising: establishing a reference digital model of a rotating magnetic component, obtaining a raw magnetic measurement vector signal sequence of a three-component magnetic sensor at a preset observation point, and constructing a time-domain observation vector; establishing a finite harmonic model of each axial component; establishing a spatial modulation function; combining the finite harmonic model with the spatial modulation function to obtain a modulated time-domain signal; performing fast Fourier transform on the modulated time-domain signal, adaptively updating second-order IIR notch filter parameters under candidate frequency point set constraints, and then performing inverse fast Fourier transform to obtain a noise-reduced time-domain magnetic field signal; obtaining a non-stationary magnetic field signal across rotating speeds based on the noise-reduced time-domain magnetic field signal; performing vector fusion and coordinate unification on the non-stationary magnetic field signal to output a final dynamic magnetic vector signal mapping after interference compensation. The present application can improve the filtering effect on noise frequency points and improve the interference compensation effect.

The application discloses a satellite navigation signal time delay stability control method and system, and the system comprises a reference time-frequency unit, a navigation signal generation unit, a navigation signal broadcasting system, a load management unit, a switch matrix, a navigation signal receiving unit and a constant temperature control unit; by establishing high-stable-state navigation signal receiving capability in the satellite load, real-time measurement of the time delay of the navigation signal is realized, and closed-loop time delay adjustment is formed with the navigation signal generation, so that the control of the navigation signal time delay stability is achieved.

The invention relates to an unmanned ship prediction tracking control method and system based on a GRU disturbance observer, and belongs to the field of ocean intelligent equipment control. The method comprises the following steps: constructing an unmanned ship kinematics model and an unmanned ship dynamics model; transmitting sensor data to the unmanned ship kinematics model and the unmanned ship dynamics model, and calculating an actual disturbance value; and obtaining an unmanned ship linearization model according to the constructed GRU disturbance observer model, and obtaining a target control quantity for the unmanned ship linearization model through a model prediction control strategy. The method solves the problems that the accuracy of tracking the expected path by the unmanned ship is reduced and the course error is increased due to low prediction precision of model prediction control.