Vector tracking loop design for degraded signal environment

Kanwal, Nazia; Hurskainen, Heikki; Nurmi, Jari

doi:10.1109/upinlbs.2010.5654015

Cited by 13 publications

(4 citation statements)

References 4 publications

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“…baseband stage, particularly in the signal processing chain of receivers (acquisition/tracking module), the multipath effect has been diminished. In code tracking stage, the mitigation methods such as correlation-based maximum likelihood (ML), nonlinear transforms, deconvolution, super-resolution/eigenvalue decomposition techniques, etc have also been implemented in GPS receivers [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] that works well to combat the multipath effect. In the navigation module of the receiver, few works associated with obstacle mapping [23], optimal combinations of function for carrier to noise ratio (C/N 0 ) measurements [24], and the correction in pseudorange observable has been performed using wavelet transform technique implemented in the navigation processing and positioning module for kinematic applications [1].…”

Section: Introductionmentioning

confidence: 99%

A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers

Elango

Landry

2022

Meas. Sci. Technol.

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The multipath effect causes severe degradation in the positioning of commercial GPS receivers. Due to multipath error, the positioning accuracy could reach a few 10 meters. If the cumulative Multipath delay is less than 0.1-0.35 chips, then it is difficult to mitigate in GPS receivers. This causes severe degradation in GPS signals and can cause a measurement bias. To alleviate this problem, the estimation of multipath parameters using annihilating filter and its mitigation in the GPS tracking loop is proposed in this work. The estimation of randomly generated multipath signals can be performed in the receiver with a lower sampling rate when compared to the larger bandwidth of the GPS baseband signal. Here, the frequency components of the Multipath signal in superimposed complex exponentials have been transformed from the time delay and the amplitude of the path observables. The Rayleigh fading model in the urban scenario has been simulated in which the amplitude and the phase of the number of paths (i.e., the frequency component of superimposed complex exponentials) are set and this fading signal is convolved with GPS signal that forms the multipath faded signal. In the GPS receiver post-processing stage, with the help of the annihilation filter, the multipath components are estimated, then an inverse/adaptive filter and compensation technique are further applied to mitigate the multipath component. The mean square error with the different number of paths with noisy environments is analyzed utilizing the cadzaw denoising algorithm. The simulation results of the proposed technique employed in the tracking module of the software GPS receiver under severe multipath conditions indicate a substantial enhancement in the performance of the GPS receiver with minimal code and carrier phase error when compared to the least squares and adaptive blind equalization channel techniques. Moreover, the positioning accuracy is also calculated with the inclusion of multipath components in two satellites out of six satellites used in the simulation, the results showed that the annihilation filter improved the mean position accuracy up to 9.3023 meters.

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Section: Introductionmentioning

confidence: 99%

A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers

Elango

Landry

2022

Meas. Sci. Technol.

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“…All tracking loops are tracking different satellite signal independently and there is no interaction between channels. 3 In order to improve tracking stability, the more universally adaptive vector tracking (VT) loop was proposed. 4 Unlike the traditional CT algorithm, the VT loop can combine with navigation results to assist the tracking link so that the receiver obtains enough total signal power to successfully track the signal.…”

Section: Introductionmentioning

confidence: 99%

A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter

Liu

Mou

et al. 2022

Measurement and Control

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The occlusion of shade leads to the intermittent reception of satellite signals, which subsequently results in a decline of the positioning accuracy of Global Navigation Satellite System (GNSS). In order to improve the accuracy of positioning and ensure the continuity of navigation results in weak signal environment, a cubature Kalman Filter (CKF)-based micro-electro mechanical-system (MEMS) grade inertial navigation system (INS) assisted GNSS vector tracking (VT) loop is proposed in this paper. Combining effective GNSS measurements and INS information, attitude, velocity, and position results are predicted by CKF, and the pseudo-range results from navigation filter are fed back into the VT loop. The field tests show that the proposed CKF-based MEMS-INS assisted GNSS VT loop can run continuously and stably in weak signal environment with higher navigation accuracy.

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“…Thus, vector tracking is more robust against signal interference and attenuation. This has been demonstrated under a range of conditions (Pany et al 2005;Bhattacharyya and Gebre-Egziabher 2010;Lashley and Bevly 2011;Kanwal et al 2010) and open source vector tracking algorithms are now available (Zhao and Akos 2011).…”

mentioning

confidence: 96%

Multipath mitigation and NLOS detection using vector tracking in urban environments

et al. 2014

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Multipath interference and non-line-of-sight (NLOS) reception are major error sources when using global navigation satellite systems (GNSS) in urban environments. A promising approach to minimize the effect of multipath interference and aid NLOS detection is vector tracking. Therefore the objective of this research is to assess vector tracking in a dense urban environment to determine its effect on multipath interference and NLOS reception. Here, a vector delay lock loop (VDLL) is implemented using an adaptive extended Kalman filter (EKF). This replaces the individual code-tracking loops and navigation filter but retains conventional carrier frequency tracking. The positioning and tracking performance of the conventional and vector tracking implementations with and without a strobe correlator are compared using intermediate frequency (IF) signals recorded in the Koto-Ku district of urban canyon Tokyo city environment. Both static and dynamic tests were performed. It is shown that vector tracking reduces the root mean square positioning error by about 30% compared to an equivalent conventional receiver in urban environments and is capable of detecting long-delay NLOS reception for a GPS receiver without any external aiding. Introduction Multipath interference and non-line of sight (NLOS) reception are major sources of error for

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Vector tracking loop design for degraded signal environment

Cited by 13 publications

References 4 publications

A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers

A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers

A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter

Multipath mitigation and NLOS detection using vector tracking in urban environments

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