GNSS Multipath Mitigation Algorithm with Antenna Arrays Based on Matrix Reconstruction

Zhang, Runping; Qin, Honglei; Zhou, Zhengshu; Li, Bingrong

doi:10.1109/icct50939.2020.9295928

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…These NLOS signals form constructive or destructive additions at the RF level, thus leading to unpredictable multipath errors in pseudorange observations. Conventional multipath mitigation methods include antenna arrays [ 26 ], longer pseudo-random code [ 27 ], multi-channel Delay Lock Loop [ 28 ], the statistical modeling of multipath electrical parameters [ 29 ], the 3D modeling of urban environments [ 30 ], etc. The above methods are highly demanding on hardware resources and power consumption, so that none of them can be applied to smartphones.…”

Section: Related Workmentioning

confidence: 99%

Multi-Phase Fusion for Pedestrian Localization Using Mass-Market GNSS and MEMS Sensors

Liu

Ying

Dai

et al. 2023

Sensors

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Precise pedestrian positioning based on smartphone-grade sensors has been a research hotspot for several years. Due to the poor performance of the mass-market Micro-Electro-Mechanical Systems (MEMS) Magnetic, Angular Rate, and Gravity (MARG) sensors, the standalone pedestrian dead reckoning (PDR) module cannot avoid long-time heading drift, which leads to the failure of the entire positioning system. In outdoor scenes, the Global Navigation Satellite System (GNSS) is one of the most popular positioning systems, and smartphone users can use it to acquire absolute coordinates. However, the smartphone’s ultra-low-cost GNSS module is limited by some components such as the antenna, and so it is susceptible to serious interference from the multipath effect, which is a main error source of smartphone-based GNSS positioning. In this paper, we propose a multi-phase GNSS/PDR fusion framework to overcome the limitations of standalone modules. The first phase is to build a pseudorange double-difference based on smartphone and reference stations, the second phase proposes a novel multipath mitigation method based on multipath partial parameters estimation (MPPE) and a Double-Difference Code-Minus-Carrier (DDCMC) filter, and the third phase is to propose the joint stride lengths and heading estimations of the two standalone modules, to reduce the long-time drift and noise. The experimental results demonstrate that the proposed multipath error estimation can effectively suppress the double-difference multipath error exceeding 4 m, and compared to other methods, our fusion method achieves a minimum error RMSE of 1.63 m in positioning accuracy, and a minimum error RMSE of 4.71 m in long-time robustness for 20 min of continuous walking.

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Section: Related Workmentioning

confidence: 99%

Multi-Phase Fusion for Pedestrian Localization Using Mass-Market GNSS and MEMS Sensors

Liu

Ying

Dai

et al. 2023

Sensors

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“…When there are multiple spoofing signals, this method may also fail, and forming a null for the spoofing signal will also cause a certain degree of attenuation of the real signal power [20,21]. Additionally, the cost of large-scale dedicated antenna arrays is high, limiting its practical applications [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Spoofing Detection Method Using Three Low-Cost Antennas in Satellite Navigation

Chen,

Wang,

Fang

et al. 2024

Electronics

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The vulnerability of civil receivers of the Global Satellite Navigation System (GNSS) to spoofing jamming has raised significant concerns in recent times. Traditional multi-antenna spoofing detection methods are limited in application scenarios and come with high hardware costs. To address this issue, this paper proposes a novel GNSS spoofing detection method utilizing three low-cost collinear antennas. By leveraging the collinearity information of the antennas, this method effectively constrains the observation equation, leading to improved estimation accuracy of the pointing vector. Furthermore, by employing a binary statistical detection model based on the sum of squares (SSE) between the observed value and the estimated value of the pointing vector, real-time spoofing signal detection is enabled. Simulation results confirm the efficacy of the proposed statistical model, with the error of the skewness coefficient not exceeding 0.026. Experimental results further demonstrate that the collinear antenna-based method reduces the standard deviation of the angle deviation of the pointing vector by over 55.62% in the presence of spoofing signals. Moreover, the experiments indicate that with a 1 m baseline, this method achieves 100% spoofing detection.

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“…A single antenna, such as a dual-polarization antenna (Egea-Roca et al, 2018;Jiang et al, 2012) and a choke ring antenna (Philippov et al, 1999), can suppress the short-delay multipath. The antenna array (Wu et al, 2019;Zhang et al, 2020) requires prior knowledge of the direct signal direction and the assistance of inertial navigation. Although these well-designed antennas mitigate multipath interference effectively, they are expensive and bulky (Wang, Jong, et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A multipath mitigation algorithm for GNSS signals based on the steepest descent approach

Qiu

Zeng

et al. 2022

Satell Navig

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Multipath interference seriously degrades the performance of Global Navigation Satellite System (GNSS) positioning in an urban canyon. Most current multipath mitigation algorithms suffer from heavy computational load or need external assistance. We propose a multipath mitigation algorithm based on the steepest descent approach, which has the merits of less computational load and no need for external aid. A new ranging code tracking loop is designed based on the steepest descent method, which can save an early branch or a late branch compared with the narrow-spacing correlation method. The power of the Non-Line-of-Sight (NLOS) signal is weaker than that of the Line-of-Sight (LOS) signal when the LOS signal is not obstructed and with a relatively high Carrier Noise Ratio (CNR). The peak position in the X-axis of the ranging code autocorrelation function does not move with the NLOS interference. Meanwhile, the cost function is designed according to this phenomenon. The results demonstrate that the proposed algorithm outperforms the narrow-spacing correlation and the Multipath Estimated Delay Locked Loop (MEDLL) in terms of the code multipath mitigation and computation time. The Standard Deviation (STD) of the tracking error with the proposed algorithm is less than 0.016 chips. Moreover, the computation time of the proposed algorithm in a software defined receiver is shortened by 24.21% compared with the narrow-spacing correlation.

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GNSS Multipath Mitigation Algorithm with Antenna Arrays Based on Matrix Reconstruction

Cited by 6 publications

References 15 publications

Multi-Phase Fusion for Pedestrian Localization Using Mass-Market GNSS and MEMS Sensors

Multi-Phase Fusion for Pedestrian Localization Using Mass-Market GNSS and MEMS Sensors

A Real-Time Spoofing Detection Method Using Three Low-Cost Antennas in Satellite Navigation

A multipath mitigation algorithm for GNSS signals based on the steepest descent approach

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