Due to the increasing demand for remote sensing imaging products, agile earth observation satellite scheduling problem (AEOSSP) has garnered significant attention. In response, this paper proposes a reinforcement learning-based dung beetle optimization (RLDBO) algorithm address AEOSSP. The proposed method dynamically adjusts proportions of four types beetles (ball-rolling beetle, brood ball small and thief beetle), enabling adaptive scheme better handle complexities uncertainties search...

With the rise of low-cost launches, miniaturized space technology, and commercialization, cost missions has dropped, leading to a surge in flexible Earth observation satellites. This increased demand for complex diverse imaging products requires addressing multi-objective optimization practice. To this end, we propose agile satellite scheduling problem (MOAEOSSP) model introduce reinforcement learning-based grey wolf (RLMOGWO) algorithm. It aims maximize efficiency while minimizing energy...

With advancements in inertial navigation measurement units (IMUs), the focus of accuracy has shifted from hardware limitations to algorithm performance. To effectively test algorithms using high-precision IMUs, trajectory generators are essential; however, existing often lack diverse motion patterns, making them inadequate for evaluating under complex and challenging conditions, particularly unmanned aerial vehicle (UAV) applications. address this, we designed a generator that enhances...

To overcome the effect of temperature on laser gyro zero bias and to stabilize output, this study proposes a modified radial basis function neural network (RBFNN) based Kohonen an orthogonal least squares (OLS) algorithm. The method, which combines pattern classification capability optimal choice capacity OLS, avoids random selection RBFNN centers improves compensation accuracy RBFNN. It can quickly accurately identify bias. A number comparable identification tests variety...

The grid strapdown inertial navigation system (SINS) used in polar also includes three kinds of periodic oscillation errors as common SINS are based on a geographic coordinate system. Aiming ships which have the external information to conduct reset regularly, suppressing Schuler is an effective way enhance accuracy. Kalman filter error model applies ship established this paper. grid-level attitude angles can be accurately estimated when velocity contains constant error, and then correcting...

To fully harness the burgeoning array of in-orbit satellite resources and augment efficacy dynamic surveillance densely clustered terrestrial targets, this paper delineates following methodologies. Initially, we leverage Density-Based Spatial Clustering Applications with Noise (DBSCAN) clustering algorithm to aggregate concentrated taking into account field-of-view peculiarities agile staring satellites. Subsequently, architect a model for synergistic multiple angle earth observation...

The measurement error of the inertial unit (IMU) significantly affects navigation accuracy grid strap-down system (SINS) applied in polar regions. In this paper, single-axis rotation modulation SINS is designed to suppress caused by IMU constant error. Then on basis scheme, a novel external horizontal damping algorithm based Kalman filter conducted further 84.4 min Schuler oscillation random established model shipborne SINS. When reference velocity provided Doppler log usable, can be...

This work discusses the choice principles and methods of optimal 2-order horizontal damping network (HDN) in inertial navigation system, gives out networks various coefficients, reduces integrated mathematic model system. By simulation, it shows that system with variable coefficients has higher precision motion voyage.

Temperature distribution and ampacity are the two important parameters to reflect operating state of a cables. According ±160kV DC submarine XLPE cable Nan'ao multi-terminal VSC system, three-dimensional (3D) transient simulation model temperature under typical was set up by using COMSOL Multiphysics finite element analysis software, simplified equivalent method proposed. Multiple thin layers adjacent medium were used as three layers. The thermal conductivity layer handled harmonic mean...

Self-alignment of strapdown inertial navigation systems incorporating micro-electro-mechanical (MSINS) is a great challenge for marine applications. In this paper, self-alignment method rotating MEMS compass proposed with the aim solving problem. First, based on an analysis biaxial rotation modulation and initial alignment compass, presented verified. Second, by analyzing effects modulation, improved speeding up reducing stop time mechanism to shorten time, which effectively suppresses...

Abstract With the extensive deployment of unmanned systems in various fields, requirements for underwater vehicles (UUV) are becoming higher and higher. A single UUV can no longer meet task requirements, cooperative control multiple UUVs is required. In this paper, facing hunting-escape task, establishing kinematics observation communication model UUV, multi-UUV pursuit completed based on model. The maneuvering strategy set, payoff function Nash equilibrium solution given by using dynamic...

As one of the most promising research direction, cooperative location with high precision and low-cost IMU is becoming an emerging topic in many positioning fields. Low-cost MEMS/DVL a preferred solution for dead-reckoning multi-USV network. However, large misalignment angles gyro drift coexist MEMS that lead to poor observability. Based on UKF, access accuracy relative small computation, dual-model filtering scheme proposed. It divides whole process into two subsections cut off coupling...

Acquisition is the first step in signal processing section of a Global Position System (GPS) receiver. It detects presence GPS received by antenna and provides estimates code phase Doppler frequency to tracking loops. Three acquisition methods frequency-domain are compared, i.e., namely radix-2 FFT, split-radix-2/4 FFT and. The expectancy split-radix algorithm increasing efficiency. shown that split-radix-2/8 can save 25% data loads stores compared with FFT. In order simulate overall system...

Semantic segmentation is a significant perception task in autonomous driving. It suffers from the risks of adversarial examples. In past few years, deep learning has gradually transitioned convolutional neural network (CNN) models with relatively small number parameters to foundation huge parameters. The segment-anything model (SAM) generalized image framework that capable handling various types images and able recognize segment arbitrary objects an without need train on specific object....

Ice monitoring is an important technology to ensure the safe and reliable operation of overhead transmission lines. The sensor has long been in harsh environment ice coating, its reliability needs be evaluated after many years. In this paper, a total 447 sets iced terminals for Southern Power Grid Disaster (Icing) Early Warning System Winter 2016~Spring 2017 ~ Spring 2018, through artificial data aggregation mining, evaluation method tension which base on weighing studied. This paper uses...

This paper demonstrates a GPS receiver research platform. It can generate digital Immediate Frequency (IF) signal and some synchronize functions on high dynamic weak environment. is based mathematical model which expresses the digitized IF as function of various errors during propagation. The simulator able to simulate more than 12 satellite signals due user. In order validate develop effective algorithm for different tracking techniques are discussed. Performances type loops outputs...