基于PSO的多星座GNSS垂直保护级优化方法

王尔申; 孙彩苗; 佟刚; 郭婧; 王传云; 曲萍萍

doi:10.13700/j.bh.1001-5965.2020.0431

基于PSO的多星座GNSS垂直保护级优化方法

doi: 10.13700/j.bh.1001-5965.2020.0431

王尔申^{1, 2, ,},
孙彩苗¹,
佟刚¹,
郭婧³,
王传云⁴,
曲萍萍¹

1.
沈阳航空航天大学电子信息工程学院, 沈阳 110136
2.
沈阳航空航天大学辽宁省通用航空研究院, 沈阳 110136
3.
中国民航科学技术研究院, 北京 100028
4.
沈阳航空航天大学人工智能学院, 沈阳 110136

基金项目:

国家自然科学基金 62173237

国家自然科学基金 61703287

辽宁省重点研发计划 2020JH2/10100045

辽宁省“兴辽英才计划” XLYC1907022

沈阳市高层次创新人才计划 RC190030

详细信息

通讯作者:
王尔申, E-mail: wanges_2016@126.com

中图分类号: V221⁺.3;TB553
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- 被引次数: 0
出版历程
- 收稿日期: 2020-08-13
- 录用日期: 2020-09-27
- 网络出版日期: 2021-11-20

Optimization method of multi-constellation GNSS vertical protection level based on particle swarm optimization algorithm

1.
College of Electronic and Information Engineering, Shenyang Aerospace University, Shenyang 110136, China
2.
Liaoning General Aviation Academy, Shenyang Aerospace University, Shenyang 110136, China
3.
China Academy of Civil Aviation Science and Technology, Beijing 100028, China
4.
School of Artificial Intelligence, Shenyang Aerospace University, Shenyang 110136, China

Funds:

National Natural Science Foundation of China 62173237

National Natural Science Foundation of China 61703287

Key R & D Projects of Liaoning Province 2020JH2/10100045

Revitalization Talent Project of Liaoning Province XLYC1907022

High-Level Innovation Talent Project of Shenyang RC190030

More Information

Corresponding author: WANG Ershen, E-mail: wanges_2016@126.com

摘要

摘要:
针对传统的高级接收机自主完好性监测（ARAIM）算法中完好性风险和连续性风险分配存在保守的问题，提出了一种基于粒子群优化（PSO）算法的完好性风险和连续性风险分配方法。将不同的分配策略作为算法中不同的粒子，选取不同故障子集对应的垂直保护级的加权和为适应度函数，每个粒子基于粒子群优化寻优原理更新其位置及速度直至满足条件，进而得到优化后的分配策略和对应的垂直保护级。通过双星座对所提方法进行验证，并与传统方法进行对比分析，结果表明：基于PSO算法的完好性风险和连续性风险分配策略优化了垂直保护级，提高了ARAIM全球可用性。
- GNSS /
- 垂直保护级 /
- 完好性风险 /
- 连续性风险 /
- 粒子群优化(PSO)算法
Abstract:
Aimed at the conservative problem of integrity risk and continuity risk allocation in the traditional Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm, a new integrity risk and continuity risk allocation method based on Particle Swarm Optimization (PSO) algorithm is proposed. This method uses different allocation strategies as different particles in the algorithm, and selects the weighted sum of the vertical protection levels corresponding to different fault subsets as the fitness function. Each particle updates its position and speed based on the principle of particle swarm optimization until the conditions are met, and then the optimized allocation strategy and the corresponding vertical protection level are obtained. The algorithm is verified through dual constellations and compared with traditional methods. The results show that the integrity risk and continuity risk allocation strategy based on the particle swarm optimization algorithm optimizes the vertical protection level and improves the ARAIM global availability.
- GNSS /
- vertical protection level /
- integrity risk /
- continuity risk /
- Particle Swarm Optimization (PSO) algorithm

HTML全文

图 1 第1组参数下全球VPL和ARAIM全球可用性

Figure 1. Global VPL and ARAIM global availability under the first set of parameters

下载: 全尺寸图片幻灯片

图 2 第2组参数下全球VPL和ARAIM全球可用性

Figure 2. Global VPL and ARAIM global availability under the second set of parameters

下载: 全尺寸图片幻灯片

图 3 第3组参数下的全球VPL和ARAIM全球可用性

Figure 3. Global VPL and ARAIM global availability under the third set of parameters

下载: 全尺寸图片幻灯片

图 4 第4组参数下的全球VPL和ARAIM全球可用性

Figure 4. Global VPL and ARAIM global availability under the fourth set of parameters

下载: 全尺寸图片幻灯片

表 1 ISM参数设置

Table 1. ISM parameter setting

组号	星座	P_sat	P_const	b_cont	b_nom	σ_URA	σ_URE
1	GPS	10^-5	10^-8	0	3/4	1	2/3
1	BDS	10^-4	10^-8	0	3/4	1	2/3
2	GPS	10^-4	10^-8	0	3/4	1	2/3
2	BDS	10^-5	10^-8	0	3/4	1	2/3
3	GPS	10^-5	10^-8	0	3/4	3/2	1
3	BDS	10^-4	10^-8	0	3/4	1	2/3
4	GPS	10^-4	10^-8	0	3/4	1	2/3
4	BDS	10^-5	10^-8	0	3/4	3/2	1

下载: 导出CSV

表 2 优化前后的ARAIM全球可用性对比

Table 2. Global availability comparison of ARAIM before and after optimization

组号	ARAIM全球可用性/%
组号	传统分配方法	本文方法
1	90.77	92.44
2	92.10	93.49
3	77.62	79.40
4	79.23	81.01

下载: 导出CSV

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