An advanced GNSS code multipath detection and estimation algorithm

Sokhandan, Negin; Curran, James T.; Broumandan, Ali; Lachapelle, G.

doi:10.1007/s10291-015-0475-z

Cited by 18 publications

(21 citation statements)

References 13 publications

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“…However, the heavy computation limits its application in the multiple-path environment. Therefore, in this section, inspired by the iterative MEDLL algorithms [ 38 ], we develop a sequential iterative maximum likelihood estimation (SIMLE) algorithm, which has reasonable computational load, to verify our theory. MEDLL is an approximate implementation of the MLE algorithm that uses the locally generated ACFs to match the CCF of the received signal.…”

Section: Dual-polarization Multipath Mitigation Algorithmmentioning

confidence: 98%

“…The uncertainty of the TOA of the first MP

in the R2L1 model is greatly reduced compared with that in the R2L2 model, for we can get an almost unbiased estimation of the MP signal from the LHCP channel. The accurate estimation of the MP, in turn, enhances the TOA estimation of the LOS signal because they affect each other mutually [ 38 ].…”

Section: Theoretical Performance Of Dpmm Using Mle Under One Los Amentioning

confidence: 99%

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Mitigating Multipath Bias Using a Dual-Polarization Antenna: Theoretical Performance, Algorithm Design, and Simulation

Xie

Cui

Zhao

et al. 2017

Sensors

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It is well known that multipath effect remains a dominant error source that affects the positioning accuracy of Global Navigation Satellite System (GNSS) receivers. Significant efforts have been made by researchers and receiver manufacturers to mitigate multipath error in the past decades. Recently, a multipath mitigation technique using dual-polarization antennas has become a research hotspot for it provides another degree of freedom to distinguish the line-of-sight (LOS) signal from the LOS and multipath composite signal without extensively increasing the complexity of the receiver. Numbers of multipath mitigation techniques using dual-polarization antennas have been proposed and all of them report performance improvement over the single-polarization methods. However, due to the unpredictability of multipath, multipath mitigation techniques based on dual-polarization are not always effective while few studies discuss the condition under which the multipath mitigation using a dual-polarization antenna can outperform that using a single-polarization antenna, which is a fundamental question for dual-polarization multipath mitigation (DPMM) and the design of multipath mitigation algorithms. In this paper we analyze the characteristics of the signal received by a dual-polarization antenna and use the maximum likelihood estimation (MLE) to assess the theoretical performance of DPMM in different received signal cases. Based on the assessment we answer this fundamental question and find the dual-polarization antenna’s capability in mitigating short delay multipath—the most challenging one among all types of multipath for the majority of the multipath mitigation techniques. Considering these effective conditions, we propose a dual-polarization sequential iterative maximum likelihood estimation (DP-SIMLE) algorithm for DPMM. The simulation results verify our theory and show superior performance of the proposed DP-SIMLE algorithm over the traditional one using only an RHCP antenna.

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Section: Dual-polarization Multipath Mitigation Algorithmmentioning

confidence: 98%

“…The uncertainty of the TOA of the first MP

Section: Theoretical Performance Of Dpmm Using Mle Under One Los Amentioning

confidence: 99%

Mitigating Multipath Bias Using a Dual-Polarization Antenna: Theoretical Performance, Algorithm Design, and Simulation

Xie

Cui

Zhao

et al. 2017

Sensors

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show abstract

“…The maximum likelihood estimation (MLE) approach is known to yield optimal performance for GNSS signal tracking. Some loops based on MLE have been researched and applied in some specific signal environments [ 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. Hurd et al [ 5 ] proposed an approximate maximum likelihood method to track Doppler frequency and code delay for a high-dynamic receiver.…”

Section: Introductionmentioning

confidence: 99%

“…Hurd et al [ 5 ] proposed an approximate maximum likelihood method to track Doppler frequency and code delay for a high-dynamic receiver. The multipath signal parameters are estimated by MLE in [ 6 , 7 ]. Iterative and non-iterative MLE for Doppler frequency and code delay are discussed in [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

A Carrier Estimation Method Based on MLE and KF for Weak GNSS Signals

Zhang

Yan

et al. 2017

Sensors

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Maximum likelihood estimation (MLE) has been researched for some acquisition and tracking applications of global navigation satellite system (GNSS) receivers and shows high performance. However, all current methods are derived and operated based on the sampling data, which results in a large computation burden. This paper proposes a low-complexity MLE carrier tracking loop for weak GNSS signals which processes the coherent integration results instead of the sampling data. First, the cost function of the MLE of signal parameters such as signal amplitude, carrier phase, and Doppler frequency are used to derive a MLE discriminator function. The optimal value of the cost function is searched by an efficient Levenberg–Marquardt (LM) method iteratively. Its performance including Cramér–Rao bound (CRB), dynamic characteristics and computation burden are analyzed by numerical techniques. Second, an adaptive Kalman filter is designed for the MLE discriminator to obtain smooth estimates of carrier phase and frequency. The performance of the proposed loop, in terms of sensitivity, accuracy and bit error rate, is compared with conventional methods by Monte Carlo (MC) simulations both in pedestrian-level and vehicle-level dynamic circumstances. Finally, an optimal loop which combines the proposed method and conventional method is designed to achieve the optimal performance both in weak and strong signal circumstances.

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“…The first stage realized in a GNSS receiver consists of visible satellites acquisition, as well as a coarse estimate of signal in space (SIS) parameters corresponding to each satellite of the constellation [1]. This operation is accomplished by a How to cite this paper: Titouni, S., Rouabah, K., Atia, S., Flissi, M. and Khababa, O.…”

Section: Introductionmentioning

confidence: 99%

GNSS Multipath Reduction Using GPS and DGPS in the Real Case

Titouni¹,

Rouabah²,

Atia³

et al. 2017

POS

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In Global Navigation Satellite System (GNSS) like Global Positioning System (GPS) and future Galileo, space signal reception in urban environment seems to be one of most significant. The urban environment is characterized by the presence of an excessive number of obstacles that produce Multiple Path (MP) in positioning the receiver. Consequently, it is of primary importance to characterize and ameliorate the performances of GNSS receiver for this type of application. In this paper, a method to mitigate MP in GNSS applications was proposed. Its principle is based on the addition, to the geographic map of a city or a neighborhood, of a supplementary information that consists of the correction of error caused by the MPs. The latter one was carried out by the comparison of the measurements, realized by Differential GPS (DGPS) and GPS, between two different sites with the same form. The first one was characterized by the presence of the MPs and the second one was completely clear of any type of obstacle. As a consequence, the measurements comparison has allowed us to deduce the GNSS MPs errors. This information can subsequently be used to make the corrections of the errors caused by MPs and it can be generalized by a measurement company to any entire city in order to identify errors in any neighborhood.

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An advanced GNSS code multipath detection and estimation algorithm

Cited by 18 publications

References 13 publications

Mitigating Multipath Bias Using a Dual-Polarization Antenna: Theoretical Performance, Algorithm Design, and Simulation

Mitigating Multipath Bias Using a Dual-Polarization Antenna: Theoretical Performance, Algorithm Design, and Simulation

A Carrier Estimation Method Based on MLE and KF for Weak GNSS Signals

GNSS Multipath Reduction Using GPS and DGPS in the Real Case

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