The rapid advancement of aerospace technology, satellite communication networks have garnered escalating attention from myriad industries. Among them, the Medium Earth Orbit (MEO) satellite communication has found extensive utilization across numerous countries and systems. With the increasing number of users in MEO, multi-access interference (MAI) has become an important factor that restricts the reliability and capacity of the system. Additionally, the low carrier-power-to-noisedensity ratio (C/N0) resulting from long-distance transmission poses a significant concern. The parallel interference cancellation (PIC) algorithm, utilized within the paradigm of multi-user detection (MUD), exhibits the capability to effectively mitigate the impact of MAI within the same system. This paper investigates the acquisition algorithm designed for on-board receivers installed on MEO satellites. This study specifically takes into account the challenging conditions of MAI and puts forth an improved acquisition algorithm rooted in coherent accumulation and PIC. Simultaneously, coherent accumulation serves as a means to substantially enhance the correct detection probability (Pcd) at low C/N0. In this study, a signal acquisition method for multi-user spread spectrum satellite receivers is proposed, which employs interference cancellation and coherent accumulation as its core mechanisms. Furthermore, we introduce a power estimation method based on the outcomes of signal acquisition, which can be integrated into the signal reconstruction module of PIC. Finally, the aforementioned algorithms in both simulation and hardware platforms was implemented. Simulation and hardware results demonstrate a detection probability Pcd of 0.95 when the interference-to-signal ratio (ISR) caused by MAI equals 20 dB, closely approaching the theoretical limit for the bit error rate (BER). The experimental results prove the effectiveness and feasibility of the acquisition algorithm. In summary, the enhanced algorithm holds vast potential for widespread implementation in multi-user spread spectrum communication systems. The algorithm proposed in this paper effectively eliminates MAI by reconstructing and parallel eliminating interference signals within the received signal, which enables the successful acquisition and reception of individual signals, making the algorithm applicable in various satellite communication systems.
Author
(s) Details
Ding
Xuhui
School of Cyberspace Science and Technology, Beijing Institute of
Technology, Beijing, China.
Xian
Yunzhu
School of Information and Electronics, Beijing Institute of
Technology, Beijing, China.
Zhang
Xianchao
College of Information Science and Engineering, Jiaxing
University, Jiaxing, China.
Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v1/5459
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