A New Blind Adaptive Antenna Array for GNSS Interference Cancellation

Carrie, G.; Vincent, François; Deloues, Thierry; Pietin, D.; Renard, Alain

doi:10.1109/acssc.2005.1599978

Cited by 14 publications

(8 citation statements)

References 4 publications

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“…By applying some criterions [14], such as power minimization [15,16], multiple constrained minimum variance [17], and minimum mean square error [18], the power of interference signal can be effectively restrained after the adaptive weighted summation. However, characteristics of antennas and channels, as well as STAP algorithms, cause biases to the output signal.…”

Section: Array Modelmentioning

confidence: 99%

The Unbiased Characteristic of Doppler Frequency in GNSS Antenna Array Processing

Xie

Chen

et al. 2019

International Journal of Antennas and Propagation

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The antenna array technology, especially the spaced-time array processing (STAP), is one of the effective methods used in Global Navigation Satellite System (GNSS) receivers to refrain the power of jamming and enhance the performance of receivers in the circumstance of interference. However, biases induced to the receiver because of many reasons, including characteristic of antennas, front-end channel electronics, and space-time filtering, are extremely harmful to the high precise positioning of receivers. Although plenty of works have been done to calibrate the antenna and to mitigate these biases, achieving a good performance of antijamming, high accuracy, and low complexity at the same time still remains challenging. Different from existing works, this paper leverages the characteristic of GNSS signal’s Doppler frequency in STAP, which is proven to remain unbiased to solve the problem, even when the nonideal antennas are used and the interference circumstance changes. Since the integration of frequency is carrier phase, the unbiased Doppler frequency leads to an accurate estimation of carrier phase which can be used to calibrate the antenna array without extra apparatus or complicating algorithms. Therefore, a simple Doppler-aid strategy may be developed in the future to solve the difficulty of STAP bias mitigation.

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Section: Array Modelmentioning

confidence: 99%

The Unbiased Characteristic of Doppler Frequency in GNSS Antenna Array Processing

Xie

Chen

et al. 2019

International Journal of Antennas and Propagation

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“…Assuming that the power values of undesired signals are much higher, the received power is minimized. Since the spatial information of the desired signals in the optimization is disregarded, it has the drawback of possible loss or attenuation of some satellite signals (Zoltowski and Gecan 1995;Reed and Yao 1998;Carrie et al 2005). However, due to its simplicity, this method is also of great interest since the array processing functionality can be fully performed before Doppler removal and correlation stages of a receiver and it can be implemented independent of the receiver's structure, and therefore, it can be used with off-the-shelf GNSS receivers.…”

Section: System and Measurement Model For The Integration Filtermentioning

confidence: 99%

Integration of GNSS and INS with a phased array antenna

Daneshmand

Lachapelle

2017

GPS Solut

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“…The spectrum defined by DSP reveals the potential interferences [15]. In [16] an antenna array is exploited to solve interference cancellation problem and provide positioning accuracy. An interference detection device and software running on it is developed in [17].…”

Section: Relevant Workmentioning

confidence: 99%

Considering trajectory outlier detection methods in verification of navigation satellite messages

Altay

Kurnaz

Kalipsiz

2011

Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011

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Approximately a thousand artificial satellites operate in orbit around their parent's bodies. These man-made celestial objects are employed for observation, communication, navigation, weather forecast and research purposes. Sending high accuracy ephemeris and clock offset data to Earth; navigation satellites help receivers estimate their location and precise time. The accuracy of receivers' location information and transmitting time data depends on compensable and noncompensable errors. Compensating the perturbations, Augmented GNSS propagate error correction signals based upon carefully surveyed locations. Notwithstanding Augmented GNSS ensures receivers' collecting reliable, accurate and available navigation signals and correction even in globally spoofed medium, local spoofers and jammers still are sources of threat. At this multi-GNSS age, users want to know whether the announced or calculated data are valid or not. To confirm the received signals, there are techniques that necessitate additional devices, antenna arrays and high computational cost. In this paper, we want to get researchers attention to trajectory outlier detection methods as an auxiliary to validate the signals the navigation satellite or Augmented GNSS send. Considering trajectory outlier detection methods in verification of navigation satellite messages is relatively low cost and not requiring additional device. In this approach, although a simple GNSS receiver is adequate, receiving the Augmented GNSS signal is preferable.

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A New Blind Adaptive Antenna Array for GNSS Interference Cancellation

Cited by 14 publications

References 4 publications

The Unbiased Characteristic of Doppler Frequency in GNSS Antenna Array Processing

The Unbiased Characteristic of Doppler Frequency in GNSS Antenna Array Processing

Integration of GNSS and INS with a phased array antenna

Considering trajectory outlier detection methods in verification of navigation satellite messages

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