PLA Rocket Force University of Engineering

Physics-informed neural predictor-corrector guidance for time-coordinated reentry of hypersonic glide vehicles

Abstract This paper addresses the time-coordinated reentry guidance problem for multiple hypersonic glide vehicles and proposes a physics-informed neural predictor-corrector guidance method. In the proposed framework, the path and terminal constraints are mapped to the bank-angle...

MGMD: A novel cross-working remaining useful life prediction method for rolling bearings under small-sample conditions

To address heavy data reliance and poor cross-working condition generalization of rolling bearing remaining useful life (RUL) prediction models under small-sample scenarios, this paper proposes a novel method integrating meta-learning, parallel temporal modeling and the domain ad...

Adaptive Spatial–Frequency Information Fusion for SAR Ship Detection

Synthetic-aperture radar (SAR) ship detection is a fundamental task in maritime remote sensing, supporting wide-area surveillance, traffic monitoring, and emergency response under all-weather imaging conditions. Existing deep detectors mainly rely on spatial cues such as intensit...

Deformable Sparse-Gradient Regularization for Extreme Image Denoising

Extreme noise severely degrades image quality in photon-limited imaging systems and challenges existing denoising methods. Classical total variation (TV) models rely on fixed local gradients and often introduce cross-edge smoothing, while deep learning methods may become unstable...

A New Variable Step-size LMS Algorithm and Its Analysis

The LMS (least mean square) algorithm is an adaptive filtering algorithm widely used in the fields of signal processing and system identification. To avoid the compromise between the convergence speed and the steady-state error for fixed step-size LMS algorithm, a variable step-s...