Multipath error mitigation based on wavelet transform in L1 GPS receivers for kinematic applications

Mosavi, Mohammad Reza; Azarbad, Milad

doi:10.1016/j.aeue.2013.04.011

Cited by 21 publications

(21 citation statements)

References 14 publications

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“…Step 4: Thresholding the operation to change the coefficients obtained from previous stage Thresholding is performed by determining the method of reformation coefficients and the noise modeling (Mosavi & Azarbad, 2013). Mainly, there are two types of hard and soft thresholding.…”

Section: Filtermentioning

confidence: 99%

See 1 more Smart Citation

De-noising and spoofing extraction from position solution using wavelet transform on stationary single-frequency GPS receiver in immediate detection condition

Mosavi¹,

Baziar²,

Moazedi³

2017

Journal of Applied Research and Technology

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The growing dependence of critical civil infrastructure on global positioning system (GPS) makes GPS interference not only a safety threat, but also a matter of national security. The research done in this paper is initiated by the need to diminish this trouble on GPS based positioning. The suggested compensation technique assumes that the presence of a spoofing signal is immediately determined. The position residuals of the last authentic and new fake signals are passed to the wavelet transform (WT). We utilized WT for de-noising. Afterwards, position deviations due to an attack can be extracted and then the estimated position of the received signal will be corrected. As a primary step, the proposed algorithm has been implemented in a stationary software GPS receiver to prove the concept of the idea. The performance of the technique is validated using several laboratory and measurement data sets. Interference mitigation having tolerance of 3% and average of 99.5% is yielded on laboratory data set and complete compensation is achieved on measurement data set. The test results show that the proposed technique supremely gain strength the reliability of civil stationary GPS receiver against interference.

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Section: Filtermentioning

confidence: 99%

“…As mentioned in the previous subsection, the SWT is an inherent redundant scheme, as each set of coefficients contains the same number of samples as the input and therefore, for a decomposition of N levels, there is a redundancy of 2N. As a result, the reconstruction procedure is different from the standard WT (Mosavi & Azarbad, 2013).…”

Section: Filtermentioning

confidence: 99%

De-noising and spoofing extraction from position solution using wavelet transform on stationary single-frequency GPS receiver in immediate detection condition

Mosavi¹,

Baziar²,

Moazedi³

2017

Journal of Applied Research and Technology

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“…According to (8) and (9), the prediction of the state vector is (14) and the filtering of the state vector is…”

Section: Vectorised Receivermentioning

confidence: 99%

“…Utilising signal processing algorithms such as fractional Fourier [5,6] and wavelet [7,8] transforms is also a key idea to find the affected satellites by MP interference. Mosavi and Azarbad [9] apply the double difference (DD) residuals to the stationary wavelet transform to identify the MP disturbance. The extracted MP is then used to correct DD observations.…”

Section: Introductionmentioning

confidence: 99%

MP Mitigation in Urban Canyons using GPS‐combined‐GLONASS Weighted Vectorized Receiver

Tabatabaei

Mosavi

Shahhoseini

2017

IET signal process.

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Multipath (MP) interference in urban canyons is one of the major sources of the positioning error. Among different methods for MP mitigation, vectorised receiver (VR) is a promising one in which channels can share their information, and as a result the stronger channels can aid the weaker or affected ones to be tracked more accurately. This study proposes a weighted VR (WVR) with the strategy of giving more weights to the observations with lower vulnerability to MP. To increase the number of immune satellites to MP, global positioning system, and global navigation satellite system integration in WVR has been discussed. The performance is also compared with conventional VR. The experimental results show that the proposed method both in a static mode under an exaggerated MP condition and in a drive through an urban canyon could find the position, respectively, with about 10 and 13% improvements. Conventional FR Conventional FR consists of three main parts in a software platform. Acquisition part as the first part acquires the in-view

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“…In the highly non stationary environment, Researchers also used Kalman Filter, particle filters and multiple differential GPS receivers to remove multipath errors in final positioning [13]. Code multipath is calibrated and estimated using spherical harmonics in static applications, similarly for kinematic applications, the multipath error mitigation is carried out by Mozaviet et al [14] using wavelet transform. The estimation of frequency components of multipath error signal using spectral analysis and its effective mitigation using time varying digital filters are designed by Yedukondalu et al [11].…”

Section: Other Filtering Methodsmentioning

confidence: 99%

Review on Sparse-Based Multipath Estimation and Mitigation: Intense Solution to Counteract the Effects in Software GPS Receivers

Elango¹,

Kumar²,

Kumar³

et al. 2018

Multifunctional Operation and Application of GPS

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Multipath is the major concern in GPS receivers that fade the actual GPS signal causes positioning error up to 10 m so special care need to be taken to mitigate the multipath effects. Numerous methods like hardware based antenna arrays technique, receiver based narrow correlator receiver, double -delta discriminator, Adaptive Multipath Estimator, Wavelet Transformation and Particle filter, Kalman filter based post receiver methods etc. used to resolve the problem. But some of the methods can only reduce code multipath error but not effective in eliminating carrier multipath error. Most of these techniques are based on the assumption that the Line-of-Sight (LOS) signal is stronger than the Non-Line of-Sight (NLOS) signals. However, in the scenarios where the LOS signal is weaker than the composite multipath signal, this approach may result in a bias in code tracking. In this chapter, different types of multipath mitigation and its limitation are described. The recent development in sparse signal processing based blind channel estimation is investigated to compensate the multipath error. The Rayleigh and Rician fading model with different multipath parameters are simulated to test the urban scenario. The inverse problem of finding the GPS signal is addressed based on the deconvolution approach. To solve linear inverse problems, the suitable kind of appropriate objective function has been formulated to find the signal of interest. By exploiting this methods, the signal is observed and the carrier and code tracking loop parameters are computed with minimal error.

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Multipath error mitigation based on wavelet transform in L1 GPS receivers for kinematic applications

Cited by 21 publications

References 14 publications

De-noising and spoofing extraction from position solution using wavelet transform on stationary single-frequency GPS receiver in immediate detection condition

De-noising and spoofing extraction from position solution using wavelet transform on stationary single-frequency GPS receiver in immediate detection condition

MP Mitigation in Urban Canyons using GPS‐combined‐GLONASS Weighted Vectorized Receiver

Review on Sparse-Based Multipath Estimation and Mitigation: Intense Solution to Counteract the Effects in Software GPS Receivers

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