Traditional radar sensors used for surveillance rely on monostatic radar principles. However, recently the use of remote radio frequency telescopes as bistatic receivers represents an interesting way to reuse existing facilities while providing additional information to improve tracking accuracy. In this paper we study the benefits of using such a system for the task of manoeuvre detection in satellites in LEO and MEO. We investigate the conditions in which a multistatic radar is advantageous for this purpose, and show concrete results based on simulated data. Moreover, we propose novel manoeuvre detection methods, and compare their accuracy to methods found in the literature. A more general way of assessing the accuracy of these manoeuvre detection methods is also proposed, with the aim of taking into account that the parameters of the manoeuvre that actually takes place also have an effect on the accuracy. These can be split into optimal control based methods, and statistical methods. We found the addition of multistatic radar to allow considerable improvement in the accuracy of the manoeuvre detection process, an improvement that is shown to be greater the greater the baseline, i.e., the distance of the receiver to the transmitter. Furthermore, the manoeuvre detection methods that accurately model the uncertainty in the measurements were found to be the most accurate.

用于监视的传统雷达传感器依赖于单基地雷达原理。然而，最近使用远程射频望远镜作为双基地接收器代表了一种有趣的方式，可以重复使用现有设施，同时提供额外的信息以提高跟踪精度。在本文中，我们研究了使用此类系统执行 LEO 和 MEO 卫星机动检测任务的好处。我们研究了多基地雷达有利于此目的的条件，并根据模拟数据展示了具体结果。此外，我们提出了新颖的机动检测方法，并将其准确性与文献中的方法进行了比较。还提出了评估这些机动检测方法的准确性的更通用的方法，目的是考虑到实际发生的机动参数也会对准确性产生影响。这些可以分为基于最优控制的方法和统计方法。我们发现，添加多基地雷达可以显着提高机动检测过程的准确性，基线（即接收器到发射器的距离）越大，这种改进就越大。此外，准确模拟测量不确定性的机动检测方法被发现是最准确的。我们发现，添加多基地雷达可以显着提高机动检测过程的准确性，基线（即接收器到发射器的距离）越大，这种改进就越大。此外，准确模拟测量不确定性的机动检测方法被发现是最准确的。我们发现，添加多基地雷达可以显着提高机动检测过程的准确性，基线（即接收器到发射器的距离）越大，这种改进就越大。此外，准确模拟测量不确定性的机动检测方法被发现是最准确的。