Abstract. In order to further improve the frequency estimation precision under high dynamic, the frequency estimation method based on Kalman filter is studied. Two methods of Kalman filter directly using for frequency estimation are studied, taking the phase of echo signal and the echo signal for measurements, which adopt nonlinear and linear Kalman filtering algorithm to estimate the Doppler frequency. Based on the study of performance of these two methods, the Doppler adaptability of the two methods is studied. The simulation results show that the speed precision is improved. But, the two methods of this research are limited by the fixed frequency conversion, and when Doppler changed a large range, the filtering is easy to diverge.
With the development of space missions, the increasing communication data volume, the diversity of mission-specific interfaces, and the growing security needs, the costs and system complexity of ground stations have increased. The architecture of the existing ground terminal is outdated and the operation and maintenance are labor-intensive, so the terminal components are unable to meet the demand of multi-satellite TT&C in the future. In this paper, a Shared Satellite Ground Station(SSGS) using user-oriented virtualization technology is proposed for coping with complex multi-satellite TT&C in the future. Based on a pool architecture, SSGS utilizes baseband processor virtualization and software-defined networking to implement resource sharing and a network that fuses high-speed and low-speed data streams with customization control. The case analysis verifies that when SSGS has a virtualization rate greater than 1, the execution rate of tasks is much larger than that of traditional ground stations. The case analysis also verifies that the virtualization rate of current commercial equipment is no less than 1.25 through equipment testing. INDEX TERMS Satellite ground station, baseband processor virtualization, software-defined network, TT&C. I. INTRODUCTION Ground stations are used for receiving payload data and Spacecraft telemetry, tracking, and command (TT&C). Traditional ground station networks generally belong to the government or the military, e.g.NASA's STDN (Spaceflight Tracking and Data Network), the United States' AFSCN (Air Force Satellite Control Network) and ESA's ESTRACK. Whereas with the development of civil and commercial aerospace, e.g. Space Imaging, Orbital Space Imaging, OneWeb and Planet Labs, more space launch missions and satellites in orbit have brought considerable challenges to ground stations, i.e. it is difficult for traditional ground station networks to provide flexible services for numerous commercial satellites. The contradiction between limited ground stations and the increasing demand has become increasingly prominent. Hence, the development of commercial ground stations becomes an inevitable trend [1], [2]. Civil and commercial ground station networks distributed around the world came into being. GENSO (Global Educational Network for Satellite Operations) is a network The associate editor coordinating the review of this manuscript and approving it for publication was Rosario Pecora. of university and amateur ground stations managed by ESA., which accommodates numerous ground stations and improves educational spacecraft communication[3]. NASA, JPL and the Center for EUV Astrophysics have evaluated a commercially available ground station for telemetry reception, processing, and routing of data over a commercial, secure data line[4]. SSC (Swedish Space Corporation)'s Pri-oraNet is a global ground station network consisting of a network management center, SSC's core stations, and cooperative stations all over the world. It provides reliable mission management, TT&C (Tracking, Telemetry ...
In order to upgrade the VLBI digital baseband converter of China's Deep Space Network (CDSN), a CUDA-based design method for polyphase channelized VLBI digital baseband equipment is proposed. Firstly, the parallelism of each module of the baseband conversion algorithm is analysed. Then the overall implementation structure of the polyphase channelization algorithm and the kernel of each module are implemented based on CUDA Stream. Finally, the indexes of the system are tested by simulation experiments. The results show that the system designed in this paper is flexible, simple and efficient, and can meet the requirements of CDSN VLBI system.
Realizing digital signal demodulation on the general computer is an important research direction in the field of signal processing in recent years. In this paper, the algorithm of BPSK signal demodulation which has high real-time requirements is researched on the general computer. According to the characteristics of "CPU + GPU" heterogeneous computing, the parallel computation model of digital communication is put forward, and BPSK signal demodulation is realized on CUDA platform. Test results show that the computing time ratio of 1:1.7, when b E N dB 0 9.6 = the bit error rate can be achieved 10 −5 .
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