The rapid development of a global navigation satellite system (GNSS) has raised the demand for spacecraft navigation, particularly for lunar spacecraft (LS). First, instead of the traditional approach of combining the united X-band system (UXB) with very-long-baseline interferometry (VLBI) by a terrestrial-based observing station in Chinese deep-space exploration, the spacecraft navigation based on inter-satellite link (ISL) is proposed because the spatial coverage of the GNSS downstream signals is too narrow to be used for LS navigation. Second, the feasibility of LS navigation by using ISL wide beam signals has been analyzed with the following receiving parameters: the geometrical dilution of precision (GDOP) and the carrier-to-noise ratio (C/N0) for satellites autonomously navigation of ISL and LS respectively; the weighting distance root-mean-square (wdrms) for the combination of both navigation modes. Third, to be different from all existing spacecraft ISL and GNSS navigation methods, an ISL annular beam transmitting antenna has been simulated to minimize the wdrms (1.138m) to obtain the optimal beam coverage: 16°-47° on elevation angle. Theoretical calculations and simulations have demonstrated that both ISL autonomous navigation and LS navigation can be satisfied at the same time. Furthermore, an onboard annular wide beam ISL antenna with optimized parameters has been designed to provide a larger channel capacity with a simpler structure than that of the existing GPS ISL spot beam antenna, a better anti-jamming performance than that of the former GPS ISL UHF-band wide band antenna, and a wider effectively operating area than the traditional terrestrial-based measurement. Lastly, the possibility and availability of applying an ISL receiver with an annular wide beam antenna on the Chinese Chang'E-5T (CE-5T) reentry experiment for autonomous navigation are analyzed and verified by simulating and comparing the ISL receiver with the practiced GNSS receiver.

Locator/ID Separation Protocol (LISP) is an efficient proposal for solving the severe routing scalability problems existing in the current IPv4-based Internet and the future IPv6-based Internet. However, the basic LISP architecture does not specify how to support mobility in detail. As mobility is a fundamental issue faced by the future Internet, LISP mobility architecture (LISP-MN) was proposed recently to extend LISP to support mobility. Nevertheless, LISP-MN is a host-based mobility approach which requires software changes in end systems. To some extent, such a design breaks the primary design principles of LISP, which is a network-based protocol and requires no modification to the hosts. In addition, LISP-MN faces the same inherent problems as other host-based approaches (e.g., MIPv4, MIPv6), such as handover latency, packet loss, and signalling overhead. To solve the above problems, this paper proposes MobileID, which is a network-based localized mobility approach for LISP. In our design, a mobile node is not aware of its mobility and does not participate in handover signalling. Instead, the network takes the responsibility for managing mobility on behalf of the mobile node. We present a general overview of MobileID architecture, and introduce the detailed protocol operations in terms of the basic MobileID handover process and the route optimization procedures. Furthermore, we describe a MobileID analytic model, and compare MobileID handover performance with three representative mobility solutions, i.e., LISP-MN, MIPv6 and PMIPv6. Numerical results show the superior performance of MobileID. The handover latency of MobileID is much lower than those of LISP-MN and MIPv6, and it becomes lower than that of PMIPv6 in case of a long wireless link delay.

Adaptive multilooking is a critical processing step in multi-temporal interferometric synthetic aperture radar (InSAR) measurement, especially in small temporal baseline subsets. Various amplitude-based adaptive multilook approaches have been proposed for the improvement of interferometric processing. However, the phase signal, which is fundamental in interferometric systems, is typically ignored in these methods. To fully exploit the information in complex SAR images, a nonlocal adaptive multilooking is proposed based on complex covariance matrix in this work. The complex signal is here exploited for the similiarity measurement between two pixels. Given the complexity of objects in SAR images, structure feature detection is introduced to adaptively estimate covariance matrix. The effectiveness and reliability of the proposed approach are demonstrated with experiments both on simulated and real data.