Research on multipath limiting antenna array with fixed phase center

Sun, Li; Chen, Jinping; Shi, Tan; Chai, Zhi

doi:10.1007/s10291-014-0400-x

Cited by 16 publications

(5 citation statements)

References 6 publications

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“…In station selection, it is advisable to avoid surroundings with high reflection coefficients, such as water bodies and glass, and to steer clear of challenging terrains, like slopes, valleys, and urban canyons. While a judicious site selection can diminish the impact of multipath effects [16], it is subject to relatively significant limitations.…”

Section: Multipath Error Mitigation Methodsmentioning

confidence: 99%

GNSS Carrier-Phase Multipath Modeling and Correction: A Review and Prospect of Data Processing Methods

Zhang,

Sun

et al. 2024

Remote Sensing

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A multipath error is one of the main sources of GNSS positioning errors. It cannot be eliminated by forming double-difference and other methods, and it has become an issue in GNSS positioning error processing, because it is mainly related to the surrounding environment of the station. To address multipath errors, three main mitigation strategies are employed: site selection, hardware enhancements, and data processing. Among these, data processing methods have been a focal point of research due to their cost-effectiveness, impressive performance, and widespread applicability. This paper focuses on the review of data processing mitigation methods for GNSS carrier-phase multipath errors. The paper begins by elucidating the origins and mitigation strategies of multipath errors. Subsequently, it reviews the current research status pertaining to data processing methods using stochastic and functional models to counter multipath errors. The paper also provides an overview of filtering techniques for extracting multipath error models from coordinate sequences or observations. Additionally, it introduces the evolution and algorithmic workflow of sidereal filtering (SF) and multipath hemispherical mapping (MHM), from both coordinate and observation domain perspectives. Furthermore, the paper emphasizes the practical significance and research relevance of multipath error processing. It concludes by delineating future research directions in the realm of multipath error mitigation.

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Section: Multipath Error Mitigation Methodsmentioning

confidence: 99%

GNSS Carrier-Phase Multipath Modeling and Correction: A Review and Prospect of Data Processing Methods

Zhang,

Sun

et al. 2024

Remote Sensing

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“…Sun et al proposed the multiple signal classification algorithms for the mitigation of the multipath signals arriving at the antenna array. The model had nullified the effects of the signals from various paths by changing the direction of the antenna.…”

Section: Motivationmentioning

confidence: 99%

Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

Siridhara

Ratnam

2019

Trans Emerging Tel Tech

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Research interest in Global Navigation Satellite System (GNSS) is increasing in the past few years due to its wide applicability in many application-oriented environments, such as automobile navigation system and aircraft landing system. Global Positioning System (GPS) is one of the GNSSs having high precision navigation performance. Multipath is a dominant error source that occurs in several GPS applications, limiting the performance. To reduce the multipath effects of satellite signals, an effective multipath mitigation technique is required. This paper introduces the Taylor series-based bidirectional least mean square (Taylor-BLMS) beamforming model for the multipath mitigation problems occurring in the GPS receiver. The performance metrics, such as antenna gain and bit error rate (BER), measure the performance of the proposed Taylor-BLMS model against various comparative models. For the system with six sensors, the proposed Taylor-BLMS model has the best performance with the values of 23.460 dB and 4.78E−05 for the antenna gain and the BER, respectively. For the system with 1 jammer, the proposed Taylor-BLMS model has the antenna gain and the BER values of 22.2828 dB and 3.69E−05, respectively. Trans Emerging Tel Tech. 2019;30:e3760. wileyonlinelibrary.com/journal/ett

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“…To alleviate the effects of multi-path, various multi-path mitigation techniques have been proposed that can be divided into three classes. The first class is the antenna-based multi-path cancellation technique, such as the choke ring [3,4], multi-pathlimiting antenna (MLA) [5,6] and phased-array antennas [7], which mitigate multi-path signals before they enter the receiver. The second class is the multi-path elimination technique based on multi-path parameter estimation, such as multi-path estimation delay lock loop (MEDLL) [8,9].…”

Section: Introductionmentioning

confidence: 99%

General design methodology of code multi‐correlator discriminator for GNSS multi‐path mitigation

Yao

2021

IET Radar Sonar & Navi

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Multi-path becomes a main source of positioning errors in new-generation global navigation satellite systems (GNSS). Code multi-correlator discriminators (MCD), represented by narrow early-minus-late (NEML) and double delta (DD) discriminators which are designed for binary phase offset keying (BPSK) signals, are one of the main multipath mitigation techniques. However, because of the complicated auto-correlation function and intricate relationships among multiple correlators, it is hard to implement a trial and error approach, which is the conventional design method of discriminator structures, to specifically design code MCD structures for new GNSS signals which have complicated spreading waveforms. In this article, instead of a trial and error approach, a general design methodology for designing code MCD structures based on heuristic optimisation for multi-path mitigation is proposed. The proposed method can specifically design code MCD structures for signals with various modulations and receivers with different bandwidths, indicating the adaptability of the proposed method. Multi-path mitigation performances of such designed structures are better than those of traditional code discriminator structures with strong tracking robustness and slight degradation of thermal noise performance. Designed code MCD structures are also insensitive to multi-path relative amplitudes and bandwidths of receivers, ensuring the practicality of the designed code MCD structures. | INTRODUCTIONGlobal navigation satellite systems (GNSS) provide positioning, navigation and timing service. To promote the accuracy of positioning, on one hand, several new signals are employed in the new generation GNSS. Compared with the binary phase shift keying (BPSK) signal, which was first used in GNSS, binary offset carrier (BOC) [1] signals and multiplexed BOC (MBOC) [2] signals have more complicated autocorrelation functions (ACFs) and greater potential to improve the accuracy of positioning. On the other hand, with the development of various GNSS receiving and processing techniques, such as high precision differential techniques, performance of positioning is significantly improved. Nevertheless, there are still several non-negligible factors that reduce positioning accuracy, such as multi-path, which has become one of the main sources of positioning errors.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Research on multipath limiting antenna array with fixed phase center

Cited by 16 publications

References 6 publications

GNSS Carrier-Phase Multipath Modeling and Correction: A Review and Prospect of Data Processing Methods

GNSS Carrier-Phase Multipath Modeling and Correction: A Review and Prospect of Data Processing Methods

Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

General design methodology of code multi‐correlator discriminator for GNSS multi‐path mitigation

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