面向下一代GNSS的高速激光骨干节点部署方法

doi:10.7527/S1000-6893.2024.31124

Abstract

Abstract:

With the development of inter-satellite link technology， laser inter-satellite links have garnered widespread attention due to its unique advantages. Compared to the current Global Navigation Satellite System （GNSS） that uses microwave inter-satellite links， laser-based inter-satellite communication offers advantages in terms of both ranging accu racy and communication bandwidth. Consequently， the network configuration of the next-generation GNSS will transition from relying entirely on microwave inter-satellite links to primarily using laser inter-satellite links. However， during the transition phase， where both laser and microwave links coexist， the deployment of high-speed laser nodes is a critical technical challenge that need to be addressed. To solve the challenge， this paper proposes a Multi-objective Discrete Binary Selection Algorithm （M-DBSA） based on the non-dominated sorting genetic algorithm with the elite strategy. Firstly， a high-medium-low inter-satellite visibility model is established based on analysis of inter-satellite geometric constraints and antenna elevation angle constraints. Secondly， to enhance the communication capability of inter-satellite links in hybrid GNSS， an optimized joint strategy is obtained using the M-DBSA algorithm. Finally， the experiment results demonstrate that compared to other algorithms， the proposed algorithm can further improve the coverage from laser backbone nodes to low-orbit satellites， shorten the high-speed laser backbone nodes’ revisit time of low-orbit satellites by about 49%， and maintain a better distribution of communication hops.

Key words: laser inter-satellite link? GNSS? hybrid inter-satellite link? genetic algorithm? particle swarm optimization

CLC Number:

Bingbing XU, Kai HAN, Richang DONG, Wenbin GONG, Qianyi REN. A high-speed laser backbone node deployment approach for next-generation GNSS[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(9): 331124.

Figures/Tables 17

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类型	参数	数值
GEO （Satellite #1-3）	轨道高度/km	35 786
GEO （Satellite #1-3）	经度/（°）	80.0，110.5，140.0
GEO （Satellite #1-3）	扫描半波束角/（°）	80
IGSO （Satellite #4-6）	轨道高度/km	35 786
IGSO （Satellite #4-6）	倾斜角度/（°）	55
IGSO （Satellite #4-6）	升交点赤经/（°）	118，238，358
IGSO （Satellite #4-6）	扫描半波束角/（°）	80
MEO （Satellite #7-30）	轨道高度/km	21 528
MEO （Satellite #7-30）	倾斜角度/（°）	55
MEO （Satellite #7-30）	星座构型	Walker 24/3/1
MEO （Satellite #7-30）	扫描半波束角/（°）	70
LEO^* （Satellite #31-162）	轨道高度/km	975
LEO^* （Satellite #31-162）	倾斜角度/（°）	55
LEO^* （Satellite #31-162）	星座构型	Walker 132/3/1
LEO^* （Satellite #31-162）	扫描半波束角/（°）	85
地球半径	半径/km	6 378
大气层高度	高度/km	100

算法	跳数标准差/10^-5	重访时间标准差/min
M-OCSA	4.851	8.782
M-ACSA	4.448	8.182
M-DBSA	6.238	6.944
M-UMSA	11.240	13.410
M-NMSA	11.120	11.690

算法	最小值/s	最大值/s	平均值/s
MOEA/D	20.429	21.389	20.940
SPEA2	108.297	112.322	111.164
标准NSGA-Ⅱ	21.611	31.339	25.815
M-DBSA	20.973	27.112	24.165

策略	选取的高速激光节点
MINLP	9， 10， 15， 18， 19， 26， 28
策略 1	9， 14， 15， 18， 19， 28， 29
策略 2	7， 9， 15， 18， 19， 28， 29
策略 3	9， 15， 18， 19， 26， 28， 29
策略 4	7， 9， 10， 15， 16， 19， 28
策略 5	8， 13， 15， 18， 19， 28， 29
策略 6	9， 10， 14， 15， 18， 19， 28
策略 7	9， 14， 15， 18， 19， 26， 28

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A high-speed laser backbone node deployment approach for next-generation GNSS

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