地球同步卫星联合搜索与传感器管理

A. Zatezalo, A. El-Fallah, R. Mahler, R. Mehra, K. Pham
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引用次数: 21

摘要

空间态势感知的联合搜索和传感器管理提出了令人生畏的科学和实践挑战,因为它需要同时搜索新的和当前空间物体的目录更新。我们展示了一种联合搜索和传感器管理的新方法,该方法利用目标后验期望数(PENT)作为目标函数,一个天基EO/IR传感器的观测模型,以及一个概率假设密度粒子滤波(PHD-PF)跟踪器。给出了实际地球同步卫星的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint search and sensor management for geosynchronous satellites
Joint search and sensor management for space situational awareness presents daunting scientific and practical challenges as it requires a simultaneous search for new, and the catalog update of the current space objects. We demonstrate a new approach to joint search and sensor management by utilizing the Posterior Expected Number of Targets (PENT) as the objective function, an observation model for a space-based EO/IR sensor, and a Probability Hypothesis Density Particle Filter (PHD-PF) tracker. Simulation and results using actual Geosynchronous Satellites are presented.
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