Quasi-Deep Integration for DPE/INS in GNSS Navigation Domain: Framework Design and Optimization

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-01-23 DOI:10.1109/TAES.2025.3532891
Wei Gao;Rong Yang;Jihong Huang;Xingqun Zhan
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Abstract

Direct position estimation (DPE) represents a pioneering technique empowering global navigation satellite system (GNSS) receivers to directly estimate position, velocity, and time (PVT) from correlation values. Despite its promise, DPE encounters formidable GNSS challenges, including multipath interference, signal fading, and interference, leading to performance degradation. Integrating an inertial navigation system (INS) with DPE receivers emerges as a viable solution. However, traditional GNSS/INS integration frameworks, such as loose, tight, or deep integration, may not seamlessly apply to DPE receivers due to their distinct signal processing procedures. Hence, this study endeavors to formulate a conceptual integration framework tailored to DPE/INS fusion, emphasizing the intrinsic connection and projection relationship between the correlation domain and the navigation domain. Within this framework, a preliminary design termed quasi-deep DPE/INS integration in the navigation domain is proposed, where the INS furnishes prior information crucial for determining the PVT solution and delineating the candidate search space for DPE receivers. This approach aims to strike a balance between system noise performance and dynamic capabilities, while reducing the computational load during the search process. Furthermore, a theoretical analysis of the quasi-deep integration performance is conducted, offering insights into optimizing the fusion weights for PVT and the search parameters for DPE receivers. Simulation results underscore the efficacy of the proposed integration framework, the analytical process, and the fusion optimization strategy. The urban experiment shows that DPE/INS quasi-deep integration offers more stable and accurate positioning results compared to both GNSS/INS loose and tight integrations. Moreover, the maximum position and velocity errors of the quasi-deep integration can be reduced up to 80% compared to pure DPE receivers, underscoring its potential applicability in challenging urban environments.
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GNSS导航领域DPE/INS准深度集成:框架设计与优化
直接位置估计(DPE)是全球导航卫星系统(GNSS)接收机根据相关值直接估计位置、速度和时间(PVT)的一项前沿技术。尽管前景光明,但DPE遇到了巨大的GNSS挑战,包括多径干扰、信号衰落和干扰,导致性能下降。将惯性导航系统(INS)与DPE接收器集成是一种可行的解决方案。然而,传统的GNSS/INS集成框架,如松散、紧密或深度集成,可能无法无缝应用于DPE接收机,因为它们的信号处理程序不同。因此,本研究试图构建适合DPE/INS融合的概念集成框架,强调相关域与导航域之间的内在联系和投影关系。在此框架内,提出了一种称为导航域准深度DPE/INS集成的初步设计,其中INS为确定PVT解决方案和描绘DPE接收机的候选搜索空间提供了至关重要的先验信息。该方法旨在平衡系统噪声性能和动态性能,同时减少搜索过程中的计算量。此外,对准深度集成性能进行了理论分析,为优化PVT的融合权值和DPE接收机的搜索参数提供了思路。仿真结果验证了所提出的集成框架、分析过程和融合优化策略的有效性。城市实验表明,与GNSS/INS松散和紧密集成相比,DPE/INS准深度集成的定位结果更加稳定和准确。此外,与纯DPE接收器相比,准深度集成的最大位置和速度误差可降低80%,这突显了其在具有挑战性的城市环境中的潜在适用性。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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