Mitigation of Adaptive Antenna Induced Bias Errors in GNSS Receivers

O’Brien, Andrew; Gupta, I.J.

doi:10.1109/taes.2011.5705689

Cited by 61 publications

(55 citation statements)

References 5 publications

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“…In the DLL of GNSS receivers, the code phase delay can be evaluated by the cross-correlation at the two xed delays [23],…”

Section: Bias Estimation and Compensationmentioning

confidence: 99%

“…The minimal modi cation to the existing system is attractive and practical [21,22]. In [23,24], the authors addressed a code compensation strategy and a phase compensation strategy, respectively, based on the tracking loop of GNSS software receivers. However, the approach, which failed to consider compensation on the carrier loop, distorts the delay lock loop (DLL) when a bias estimation was added between the phase discriminator and the DLL lter.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive beamforming and phase bias compensation for GNSS receiver

Zhao

Lian

Feng

2015

J. of Syst. Eng. Electron.

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Adaptive antenna arrays have been used to mitigate the interference on global navigation satellite system (GNSS) receivers. The performance of interference mitigation depends on the beamforming algorithms adopted by the antenna array. However, the adaptive beamforming will change the array pattern in realtime, which has the potential to introduce phase center biases into the antenna array. For precise applications, these phase biases must be mitigated or compensated because they will bring errors in code phase and carrier phase measurements. A novel adaptive beamforming algorithm is proposed rstly, then the phase bias induced by the proposed algorithm is estimated, and nally a compensation strategy is addressed. Simulations demonstrate that the proposed beamforming algorithm suppresses effectively the strong interference and improves signi cantly the capturing performance of GNSS signals. Simultaneously, the bias compensation method avoids the loss of the carrier phase lock and reduces the phase measurement errors for GNSS receivers.

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“…In the DLL of GNSS receivers, the code phase delay can be evaluated by the cross-correlation at the two xed delays [23],…”

Section: Bias Estimation and Compensationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive beamforming and phase bias compensation for GNSS receiver

Zhao

Lian

Feng

2015

J. of Syst. Eng. Electron.

View full text Add to dashboard Cite

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“…In a real receiver, this antenna-induced bias mitigation approach could be implemented in real-time, as described in detail in our previous work [13].…”

Section: Mitigation Of Antenna-induced Biases During Interference Supmentioning

confidence: 99%

“…A number of techniques have already been developed in order to prevent or mitigate the bias errors caused by adaptive antennas. For example, logic can be added to the GNSS receiver which uses knowledge of the adaptive filter weights to predict and compensate for any adaptive antenna-induced biases in real-time [11][12][13]. Alternatively, adaptive filtering algorithms have been developed that are specifically optimized for GNSS receivers and are mathematically guaranteed to introduce zero bias error into receiver measurements [14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Measure Array Manifolds of GNSS Adaptive Antennas

2011

Self Cite

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We present a procedure for measuring the complete, in situ array manifold of a STAP-based adaptive antenna using only standard GNSS receiver measurements. Note that one needs in situ array manifolds in adaptive spatial processing as well as for estimation of the antenna induced biases in GNSS measurements. The proposed procedure is a straightforward extension of traditional outdoor GPS antenna calibration methods. The adaptive filter weights in the antenna electronics are carefully varied, and their effect on the GNSS receiver measurements are recorded. Using a system of equations derived in this paper, these receiver measurements are used to solve for the frequency response of each antenna element in each satellite direction. The accuracy of the proposed procedure is established using computer simulations. We also show that the measured array manifolds provide a very good estimate of the antenna induced biases in GNSS receiver measurements in the presence of interferers.

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“…Array-based receivers performing space-only processing may experience phase distortions, which in turn degrades the position and time estimates [18,19,20,21]. Although this can be negligible for applications where high accuracy is not strictly required, these distortions adversely affect carrier phase measurements, thereby not allowing resolution of integer cycle ambiguities.…”

Section: Introductionmentioning

confidence: 99%

Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments

Daneshmand

Marathe

2016

Sensors

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The use of antenna arrays in Global Navigation Satellite System (GNSS) applications is gaining significant attention due to its superior capability to suppress both narrowband and wideband interference. However, the phase distortions resulting from array processing may limit the applicability of these methods for high precision applications using carrier phase based positioning techniques. This paper studies the phase distortions occurring with the adaptive blind beamforming method in which satellite angle of arrival (AoA) information is not employed in the optimization problem. To cater to non-stationary interference scenarios, the array weights of the adaptive beamformer are continuously updated. The effects of these continuous updates on the tracking parameters of a GNSS receiver are analyzed. The second part of this paper focuses on reducing the phase distortions during the blind beamforming process in order to allow the receiver to perform carrier phase based positioning by applying a constraint on the structure of the array configuration and by compensating the array uncertainties. Limitations of the previous methods are studied and a new method is proposed that keeps the simplicity of the blind beamformer structure and, at the same time, reduces tracking degradations while achieving millimetre level positioning accuracy in interference environments. To verify the applicability of the proposed method and analyze the degradations, array signals corresponding to the GPS L1 band are generated using a combination of hardware and software simulators. Furthermore, the amount of degradation and performance of the proposed method under different conditions are evaluated based on Monte Carlo simulations.

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Mitigation of Adaptive Antenna Induced Bias Errors in GNSS Receivers

Cited by 61 publications

References 5 publications

Adaptive beamforming and phase bias compensation for GNSS receiver

Adaptive beamforming and phase bias compensation for GNSS receiver

A Novel Method to Measure Array Manifolds of GNSS Adaptive Antennas

Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments

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