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arXiv 1503.08377gr-qc
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LISA数据处理的第一阶段II:LISA的备选滤波动态模型

First stage of LISA data processing II: Alternative filtering dynamic models for LISA

Yan Wang, Gerhard Heinzel, Karsten Danzmann

摘要:

空间载引力波探测器,如(e)LISA,设计用于在低频带(mHz至Hz)工作,那里有各种具有重大科学价值的引力波源。为了使这些探测器具有非凡的灵敏度,各个航天器上的时钟精确同步以及航天器间距离的准确确定是重要的组成部分。在我们之前的论文(Phys. Rev. D 90,064016 [2014])中,我们描述了一种具有完整状态向量的混合扩展卡尔曼滤波器来完成这项工作。在本文中,我们探讨了几种不同的状态向量和相应的(现象学)动态模型,以减少冗余的完整状态向量,加速算法,并使算法易于扩展到更复杂的情况。

英文摘要:

Space-borne gravitational wave detectors, such as (e)LISA, are designed to operate in the low-frequency band (mHz to Hz), where there is a variety of gravitational wave sources of great scientific value. To achieve the extraordinary sensitivity of these detector, the precise synchronization of the clocks on the separate spacecraft and the accurate determination of the interspacecraft distances are important ingredients. In our previous paper (Phys. Rev. D 90, 064016 [2014]), we have described a hybrid-extend Kalman filter with a full state vector to do this job. In this paper, we explore several different state vectors and their corresponding (phenomenological) dynamic models, to reduce the redundancy in the full state vector, to accelerate the algorithm, and to make the algorithm easily extendable to more complicated scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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