4 results about "Sequential estimation" patented technology

The application provides an aircraft state estimation method, device, electronic equipment and storage medium, wherein the aircraft state estimation method comprises: obtaining flight state data of an aircraft; determining a corresponding load parameter when an observable condition is met based on the flight state data; estimating a load deviation to obtain a load deviation estimation value; in response to the load deviation estimation value meeting a preset convergence condition, limiting the update of the load state and estimating the wind speed to obtain a wind speed estimation value. The above method judges the load observability based on the vertical dynamics excitation and performs the load deviation estimation and wind speed estimation in stages, limits the state update of the load after the load converges, converts the coupled joint estimation problem into a decoupled sequential estimation problem, suppresses the mutual absorption phenomenon of the wind speed and the load in the residual explanation, and improves the estimation stability in all working conditions.

The application discloses a kind of based on high-speed rail carrying synthetic aperture radar's side slope deformation sequential monitoring method, device, equipment and storage medium, comprising: generating single-view complex image according to original echo data;Image registration is carried out to single-view complex image, and differential interference processing is carried out based on the single-view complex image after registration, and difference interference data set is constructed;Based on difference interference data set, coherence matrix is constructed, and the phase optimization of difference interference data set is carried out using coherence matrix, and the difference interference data set after correction is obtained;According to the difference interference data set after correction, phase is unwound, and based on sequential estimation algorithm, incremental update solution is carried out to new echo data, and the deformation of side slope is obtained.The synthetic aperture radar and coherence matrix phase optimization are used to realize high-speed rail side slope monitoring, and through sequential processing mechanism, historical deformation parameter is used to guide new data fast solution, realizes side slope deformation dynamic monitoring, satisfies fine and timeliness early warning demand.

The application discloses a kind of based on high-speed rail carrying synthetic aperture radar's side slope deformation sequential monitoring method, device, equipment and storage medium, comprising: generating single-view complex image according to original echo data;Image registration is carried out to single-view complex image, and differential interference processing is carried out based on the single-view complex image after registration, and difference interference data set is constructed;Based on difference interference data set, coherence matrix is constructed, and the phase optimization of difference interference data set is carried out using coherence matrix, and the difference interference data set after correction is obtained;According to the difference interference data set after correction, phase unwrapping is carried out, and based on sequential estimation algorithm, incremental update solution is carried out to new echo data, and the deformation variable of side slope is obtained.The synthetic aperture radar and coherence matrix phase optimization are used to realize high-speed rail side slope monitoring, and through sequential processing mechanism, historical deformation parameter is used to guide new data fast solution, realizes side slope deformation dynamic monitoring, satisfies fine and timeliness early warning demand.

The invention belongs to the technical field of underwater positioning, and discloses an underwater robot positioning method and system based on a self-adaptive robust loss function. According to the method, based on an underwater acoustic signal two-way propagation time observation equation, the position and sound velocity of an underwater robot (AUV) are used as unknown quantities, and signal two-way propagation time is used as an error variable of an observed quantity; an adaptive robust loss function is introduced, a robust optimization problem taking the adaptive robust loss function as an optimization target is constructed, a progressive non-convexity method (GNC) is adopted to solve the robust optimization problem, a sequential updating method of the position and the sound velocity of the AUV is provided, sequential estimation of the position and the sound velocity of the AUV is carried out, and the position and the sound velocity of the AUV are estimated. And deriving a closed-form estimation result of the position of the AUV under the condition that the sound velocity is determined and a closed-form estimation result of the sound velocity under the condition that the position of the AUV is determined. According to the method, robust stable estimation of the position and the sound velocity of the AUV under the outlier interference condition is realized.