## 1 Introduction
Unfortunately, no implementation details can be found involving the method for identifying the axis position, the deployment mechanism, the synchronous scheme, etc. Encouraged by the success of the Spektr-R project, Russia initiated its observatory-class mission, named Spektr-M (Millimetron) [26; 27]. The Spektr-M is a 10 m space telescope designed to further investigate various objects in the Universe at millimeter and infrared wavelengths from 0.07 mm to 10 mm. Its antenna is of the same size as the Spektr-R, but its number of petals is reduced to 24, thereby enabling stronger deployment reliability. According to the existing literature [43], deploying the antenna of the Spektr-M is also accomplished by rotating all of its petals around their respective oblique axis in space. Similar to the Spektr-R, its specific implementation also remains unavailable nevertheless. One of the most serious deficiencies of the above PTDA is its considerably low stowing efficiency. For example, the deploy/fold ratios of RadioAstron and MilliMetron are merely 3.33, but that of the CNA can reach up to 10 to 50 [1; 2; 3; 4; 5; 6; 7; 8; 9]. This inevitably results in smaller-sized antenna stowed in rocket fairing and eventually in poor electromagnetic (EM) performances in terms of gain, resolution and sensitivity. The most straightforward approach to improving the stowing efficiency of the PTDA is to increase the number of petals. According to the reliability theory [44], however, the deployment process can be viewed as a serial system, which suggests that more petals implies not only poorer deployment reliability but also a more serious position error and larger gap among deployed petals. Therefore, the above approach is inadvisable for realizing high stowing efficiency. The second approach improving the stowing efficiency is conducted through the conjunction of the pose adjustment and bisection method [45]. This approach improves the stowing efficiency to some extent without increasing the petals, and the efficiency can be further improved if adopting what is called the deviation-angle panel proposed in this study. In addition to the abovementioned problems and deficiencies, deployment dynamics are also of critical importance for identifying appropriate structural parameters to achieve excellent dynamical performance, to which only a few studies have paid attention. [PERSON] et al. [32; 36] conducted the related dynamics research on small-sized RRSAs driven by torsional springs. [PERSON] et al. [46] analyzed and experimented on the deployment process of a tiny 3D-printing antenna model based on rigid modified origami flashers. Other studies [28; 29; 38; 39] place the emphasis on antenna concepts, mechanism configuration synthesis and kinematics. Therefore, there are still many directions worthy of in-depth research on the deployment dynamics of RRSAs. In response to the aforementioned problems and challenges, we propose a novel type of RRSA based on PTDAs in this study, which is characterized with an ingenious segmentation scheme to realize higher stowing efficiency. Furthermore, we also investigate the matching antenna configuration, the deployment principle, the mechanism/structure and the deployment dynamics in order to ensure an interference-free and stable deployment process. The remainder of this paper is organized as follows. Section 2 reviews the existing concepts of RRSAs and analyzes their distinctive features. Section 3 presents an ingenious segmentation scheme of the proposed RRSA with a higher stowing efficiency than the traditional ones. Section 4 outlines the configuration design based on parameter identification for the optimal stowing efficiency, verifying the interference-free deployment preliminarily. Section 5 formulates the structure and deployment mechanism design of a Cassegrain RRSA for subsequent investigation of deployment dynamics. Section 6 highlights the study of the antenna deployment dynamics through trajectory planning. Section 7 summarizes conclusions of this paper.