8 results about "Sequential estimation" patented technology

The invention discloses a method and a device for deducing basin variable-frequency flood area composition under influence of reservoir regulation, and the method comprises the steps: considering the influence of reservoir regulation on flood non-consistency, and representing the regulation and storage capacity of a reservoir through a reservoir index; a generalized additive model with a reservoir index as a covariable is adopted to represent inconsistency of hydrometric stations or downstream reservoir inflow flood under the influence of reservoir adjustment, and time-varying distribution parameter estimation is carried out in combination with a maximum likelihood method and a quantile map line adaptation method; aiming at a nonlinear, asymmetric and high-dimensional dependent structure of the basin flood area composition under the influence of reservoir regulation, constructing a basin flood area composition model by adopting a vine structure Copula joint distribution function, and analyzing frequency conversion characteristics of the basin flood area composition under the influence of reservoir regulation; on the basis of water balance constraints, a sequential estimation method and a particle swarm optimization algorithm are combined to calibrate the Copula joint distribution function parameters of the rattan structure, the composition of the variable-frequency flood area of the drainage basin is deduced, and the adaptability of a composition model of the flood area of the drainage basin in a changing environment is improved.

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 invention discloses a two-step fitting two-dimensional direction of arrival estimation method based on a planar symmetric sparse array, which mainly solves the problem that the existing method based on the sparse array cannot process mixed circular and non-circular signals, and belongs to the technical field of array signal processing. The implementation steps are: constructing a sparse symmetric planar array; modeling the sparse symmetric planar array signal; first-step conjugate augmented covariance matrix fitting preprocessing; first-step fitting conjugate augmented covariance matrix data transformation; last-step conjugate augmented covariance matrix fitting preprocessing; sequential decoupling postprocessing to realize multi-dimensional parameter estimation of mixed signals. The invention is based on two-step fitting conjugate augmented covariance matrix data, and through two-step decoupling sequential estimation of the two-dimensional direction of arrival, it can effectively avoid multi-dimensional spectrum peak search with high computational complexity, and maintain high recognizability, and can be used for perception and positioning in the fields of communication, radar, etc.

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.

The present invention discloses a method and device for deducing the composition of variable-frequency flood areas in a watershed under the influence of reservoir regulation. The method comprises: considering the impact of reservoir regulation on the inconsistency of floods, applying a reservoir index to characterize the reservoir storage capacity, adopting a generalized additive model with the reservoir index as a covariate to characterize the inconsistency of floods entering a hydrological station or a downstream reservoir under the influence of reservoir regulation, and estimating time-varying distribution parameters by combining a maximum likelihood method and a quantile map fitting method; constructing a watershed flood area composition model by using a vine-structured Copula joint distribution function for the nonlinear, asymmetric, and high-dimensional dependent structure of the composition of the watershed flood area under the influence of reservoir regulation, and analyzing the variable-frequency characteristics of the composition of the watershed flood area under the influence of reservoir regulation; and calibrating the parameters of the vine-structured Copula joint distribution function by combining a sequential estimation method and a particle swarm optimization algorithm based on water balance constraints to deduce the composition of the variable-frequency flood areas in the watershed, thereby improving the adaptability of the watershed flood area composition model under a changing environment.

The present application provides a sequential smooth variable structure filtering method and device for a Doppler radar, belonging to the technical field of radar data processing, which can simultaneously solve the problems of the nonlinear underdetermined observation model of the Doppler radar and the robust tracking problem under the condition of uncertain target motion models. The method adopts the strategies of decoupling processing and sequential estimation of the target position measurement and radial velocity measurement of the Doppler radar to solve the nonlinear underdetermined observation model problem: in the first measurement conversion module and the first state estimator, the first-level target state estimation is obtained by using the nonlinear target position measurement and the generalized smooth variable structure filtering method; in the second-level measurement conversion module and the second state estimator, a pseudo-measurement is constructed by using the radial velocity measurement to update the first-level target state estimation, and the final posterior state estimation of the target in the current frame is obtained. Among them, the generalized smooth variable structure filtering method ensures the robustness under the condition of model uncertainty. Therefore, the present application can improve the target tracking accuracy of the Doppler radar and maintain the robust estimation performance under the condition of uncertain target motion models at the same time.