With cloud computing, big data, artificial intelligence and other new information technologies
going into space, the era of space intelligence is coming. The spacecraft is facing more …

THE increasing number of actors in space has led to an increased risk of on-orbit collisions
[1]. Predictions have shown that, if action is not taken to mitigate the risks of collisions in …

We present a high-accuracy, low false-alarm rate, and low computational-cost methodology
for removing stars and noise and detecting space debris with low signal-to-noise ratio (SNR) …

Low-earth orbit (LEO) satellite constellations are a special type of cyber-physical systems.
Their meteoric rise has led to the proposition of many novel use cases and applications …

The objective of the study is to model a system which can effectively prevent the collision
between space debris and spacecraft by robust design and algorithms of the system. The …

This study presents a mathematical model to analyze the complex dynamics and rebound
mechanism of the Tethered Space Net (TSN). Using the lumped mass method, a dynamic …

This study presents a novel framework of mission planning for actively removing multiple
space debris in low Earth orbit. The associated problem is formulated as a multi-objective …

Short data and large Doppler bandwidth in a low-pulse-repetition-frequency system is a
challenging problem for space debris imaging. Meanwhile, space debris usually rotates at a …

针对星载雷达空间碎片群目标回波无法分离问题, 该文利用回波在距离向表现出的块聚集特性,
提出一种基于块稀疏的高分辨ISAR 成像方法. 基于块稀疏压缩感知理论, 通过利用空间碎片群 …

低重频, 短数据条件下的雷达成像是比较困难的, 同时, 星载平台观测的碎片目标多以群目标形式
出现. 针对窄带条件下的空间碎片群目标成像问题, 该文提出了一种基于稀疏重构的空间碎片群 …