Target maneuver trajectory prediction is an important prerequisite for air combat situation awareness and target threat assessment. Aiming at the problems of high complexity and low prediction accuracy of traditional target maneuvering trajectory prediction model, Volterra functional series model wa...

Aiming at the problems of complex background and too many small-size targets in UAV aerial images, a small target detection algorithm based on inverted residual attention is proposed. Firstly, an inverted residual module and an inverted residual attention module are embedded into the backbone networ...

An immune optimization algorithm with a small population is proposed to solve a single objective probability constrained programming with no prior random distribution information. In the design of the algorithm, we develop an evolutionary framework with a micro population inspired by danger theory. ...

Aiming at the problem of low recognition accuracy of traditional radar signal recognition algorithms under low signal-to-noise ratio, a radar emitter recognition algorithm based on multi-synchrosqueezing transform (MSST) time-frequency transformation and histogram of direction gradient (HOG) feature...

To meet the differentiated needs of the attitude control of ultra-low orbit satellites, this study investigates the attitude control strategy with the assistance of pneumatic steering gears. The layout of the gear is designed and its aerodynamic characteristics are analyzed under the thin atmosphere...

In this paper, a test setup of mechanically pumped two-phase loop (MPTL) was constructed in response to the demand for high precision and high stability temperature control of the core components in space remote sensors. In this setup, a two-phase thermal-controlled accumulator with passive cooling ...

A modified likelihood cubature Kalman filtering (ML-CKF) is proposed to solve the problem that the measurements of vision-based relative navigation sensor for unmanned aerial vehicle formation are randomly delayed by multiple steps. The measurement model is modified by the Bernoulli random variables...

This paper presents a registration algorithm based on datum constraints and allowance constraints, which allows the surface to be machined with a uniform allowance and to maintain accurate position relations. First, a local coordinate system was introduced to compute the registration results. Then a...

Aiming at the problems that the current global navigation satellite system-reflectometry bistatic synthetic aperture radar (GNSS-R BSAR) has a large squint in the fixed mode of one station, the slant range history is complicated, and the echo signal's azimuth is changed, the echo signal is difficult...

To address the problem of system performance degradation caused by time delay in the distributed control system of turboshaft engines, this study proposes a method for designing a time-delay robust cascade PI controller based on linear matrix inequalities (LMIs) method. Firstly, the PI controller st...

An algorithm based on multi-swarm cooperative learning was proposed to plan multiple optimal paths to meet multiple objectives, which can improve the robustness and practicability of the planned paths. The concept of the particle swarm optimization algorithm served as the algorithm's guidance. First...

In order to solve the problem of estimation mismatch of the direction of arrival (DOA) in the beamforming of planar antenna arrays, a method of adding linear constraints near the direction of the signal of interest (SOI) is used to improve the robustness of beamforming. In addition, to address the p...

In order to analyze the influence of uncertainty on the thermal stability of the launch vehicle fairing cone shell sandwich structure and to guide the lightweight design of the structure, a model of the fairing front cone section sandwich shell is established and a temperature field model is built, ...

The sparrow search algorithm is improved to address its decrease of population diversity in the later stage and its easy fall into the local optimal solution. The improved algorithm introduces the oppositional learning strategy based small hole imaging to update the discoverer’s position, enhancing ...

Switched reluctance motors (SRMs) often use current chopping control (CCC) when running below the base speed. In the traditional control, however, the dynamic tracking ability of current is weak, the torque ripple in the commutation area is large, and the switching frequency of power devices is not ...

Although passive radar based on global navigation satellite system (GNSS) signals has received domestic and international attention owing to its advantages such as the availability of multiple satellites, global coverage, and convenience of time synchronization, it is difficult to meet the actual de...

Parasitic rotation is inevitable during the movement of large stroke compliant micro-positioning platforms, causing a negative impact on their positioning precision. To reduce this effect, a 3-PPPR compliant micro-positioning platform with large stroke is proposed based on compliant beams. Then, bas...

With the rapid development of machine learning and its outstanding nonlinear mapping ability, more and more scholars apply machine learning methods to the field of fluid mechanics. To overcome the obstacle that the traditional mathematical fitting cannot well present the system nonlinearity and the ...

To address the problems that the sparrow search algorithm is prone to fall into local extremum points in the early stage and not high accuracy in the later stage of the search, an adaptive variational sparrow search algorithm (AMSSA) is proposed. Firstly, the initial population is initialized by cat...

The existing mixed polarity Reed-Muller (MPRM) circuit area optimization algorithms based on the traditional intelligent optimization algorithms have the problem of poor performance. The MPRM circuit’s area optimization is a combinatorial optimization issue, hence an artificial fish swarm algorithm ...

In the field of remote sensing image target detection, there still are challenges in oriented object detection. Convolutional neural network is subject to a fixed spatial structure when extracting information, and sampling locations cannot focus on objects. The scale of the remote sensing image vari...

In order to enhance the accuracy and speed of surface defect detection of aeroengine components, an improved YOLOv4 algorithm is proposed for intelligent detection. Firstly, shallow features and deep features were integrated into the path aggregation network (PANet) to improve the feature detection ...

Addressing such a problem with the traditional indicator system for quality evaluation as an insufficient theoretical basis for wavelet threshold denoising, a combination weighting approach-based method for evaluation of wavelet denoising quality is proposed with the expectation of effectively evalu...

A flexible eddy current array sensor with double-side reinforcement is proposed for hole edge crack monitoring. First, with COMSOL finite element method, a finite element model of the sensor and the test piece was established, through which the effects of lift-off, permeability of the gasket and cra...

By connecting sensors and shooters, tactical target network technology (TTNT) can realize rapid detection, positioning and strike of time-sensitive targets in denial environments. To that end, real-time and reliable channel access is highly required for tactical information transmission. TTNT uses t...