Multipath detection based on single orthogonal dual linear polarized GNSS antenna

Zhang, Ke; Li, Baiyu; Chen, Huaming; Sun, Guangfu

doi:10.1007/s10291-017-0603-z

Cited by 21 publications

(9 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The constrained variable matrix N is shown in Equation (12). Then, the constrained estimation of trend surface coefficients is obtained with Equation (13).…”

Section: Identification and Solution Of The Multicollinearity Problemmentioning

confidence: 99%

“…The antenna improvement methods mainly include the patch elements placed on choke rings [1], the multipath estimating delay-locked loop [2,3] and a "narrow correlator" delay-locked loop [4], which can only partially eliminate multipath error. Antenna-related improvements also include array antennas [5][6][7][8][9][10] and dual-polarized antenna techniques [11][12][13]. The above methods effectively suppress the multipath effect, but increase the hardware cost.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

et al. 2020

View full text Add to dashboard Cite

Among various ways to eliminate the multipath effect in high-precision global navigation satellite system positioning, the multipath hemispherical map (MHM) is a typical multipath correction method based on spatial domain repeatability, which is suitable for not only static environments, but also some dynamic carriers, such as ships and aircraft. So, it has notable advantages and is widely used. The MHM method divides the sky into grids according to the azimuth and elevation angles of satellite, and calculates the average of the residuals within the grid points as its multipath calibration value. It is easy to implement, but it will inevitably lead to excessive or insufficient multipath correction in the grid. The trend surface analysis-based multipath hemispherical map (T-MHM) method makes up for this deficiency by performing trend surface analysis on the multipath spatial changes within the grid points. However, the effectiveness of T-MHM is limited and less capable of resisting noise interference due to the multicollinearity between the independent variables caused by the special spatial distribution of multipath sampling and the overfitting problem caused by ignoring the multipath anisotropy. Thus, we proposed an improved multipath elimination method named AT-MHM (advanced trend surface analysis-based multipath hemispherical model), which cautiously judges the occurrence of the above problems and gives corresponding solutions. This was extended to double-difference mode, which expands the scope of application. The performance of AT-MHM in GPS pseudorange multipath mitigation was verified on geodetic receiver and low-cost receiver in a strong multipath environment with high occlusion.

show abstract

“…The constrained variable matrix N is shown in Equation (12). Then, the constrained estimation of trend surface coefficients is obtained with Equation (13).…”

Section: Identification and Solution Of The Multicollinearity Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

et al. 2020

View full text Add to dashboard Cite

show abstract

“…These can be broadly classified as two types: (1) improvement of antenna and receiver design; and (2) enhancement of data processing skills. For the former, some common techniques such as chock ring antenna, dual-polarized antenna, and the multipath elimination delay lock loop (MEDLL), are used in multipath reduction [ 3 , 4 , 5 ]. Due to the hardware limitations, most of these techniques do not fit to every positioning system, especially for low cost terminals and boards such as the GNSS embedded in smartphones.…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning

Xia

Chan

et al. 2020

Sensors

View full text Add to dashboard Cite

In global navigation satellite system (GNSS)-based positioning and applications, multipath is by far the most obstinate impact. To overcome paradoxical issues faced by current processing approaches for multipath, this paper employs an intrinsic method to identify and mitigate multipath based on empirical mode decomposition (EMD) and Hilbert–Huang transform (HHT). Frequency spectrum and power spectrum are comprehensively employed to identify and extract multipath from complex data series composed by combined GNSS observations. To systematically inspect the multipath from both code range and carrier phase, typical kinds of combinations of the GNSS observations including the code minus phase (CMP), differential correction (DC), and double differential (DD) carrier phase are selected for the suggested intrinsic approach to recognize and mitigate multipath under typical positioning modes. Compared with other current processing algorithms, the proposed methodology can deal with multipath under normal positioning modes without recourse to the conditions that satellite orbits are accurately repeated and surrounding environments of observing sites remain intact. The method can adaptively extract and eliminate multipath from solely the GNSS observations using intrinsic decomposition mechanism. From theoretical discussions and validating tests, it is found that both code and carrier phase multipath can be identified and distinguished from ionospheric delay and other impacts using the EMD based techniques. The resultant positioning accuracy is therefore improved to an obvious extent after the removal of the multipath. Overall, the proposed method can form an extensive and sound technical frame to enhance localization accuracy under typical GNSS positioning modes and harsh multipath environments.

show abstract

“…Xin and Yu [7] derived a set of updating formulas to reduce the computational complexity of one‐dimensional search in direction of arrival (DOA) estimation of MP signals. It has been proved that the antenna end restraining MP effect is an effective method [8]. Brenneman et al [9] proposed using left hand circular polarized (LHCP) to assist right hand circular polarized (RHCP) MP suppression in 2007 and estimated MP signals through angle of arrival (AOA).…”

Section: Introductionmentioning

confidence: 99%