Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Fernández‐Prades, Carles; Arribas, Javier; Closas, Pau

doi:10.1109/jproc.2016.2532963

Cited by 107 publications

(69 citation statements)

References 66 publications

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“…In this section, the proposed multiple interference suppression method is compared with the well-known space-only MPDR (S-MPDR) beamformer [7], the distortionless space-time MPDR processor (DST-MPDR) [9], and the combining method based on double-chain quantum genetic matching pursuit-sparse decomposition and MPDR beamformer (DCQGMP-SD & MPDR) [14]. The number of time delay taps of DST-MPDR is N τ = 9 for the proposed method, M 2 = 32 And assume that we only knew the prior information of S-T and LFMCW interfering signals, then the signal processing flow and parameters of DCQGMP-SD & MPDR are the same as in [14].…”

Section: Advantages Of the Proposed Methodmentioning

confidence: 99%

“…The single-antenna interference suppression methods, such as frequency-domain filtering [2], adaptive time-domain filtering [3,4], and time-frequency (TF) filtering [5], have the advantages of small volume and low hardware complexity; however, they can only deal with the interferences with sparse characteristics in time and frequency domains (such as narrowband interferences and linear chirp interferences) and are not able to cope with multiple interferences [6] effectively. The space processing based on an antenna array, such as power inversion technology and space-only MPDR (S-MPDR) beamformer, can nullify wideband interferences (WBI) and narrowband interferences (NBI) regardless of their time and frequency characteristics [7]. But the number of interferences coped with by spaceonly-based methods is limited to the number of antenna elements.…”

Section: Introductionmentioning

confidence: 99%

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Space-Time-Frequency Adaptive Processor for Multiple Interference Suppression in GNSS Applications

Guo

Xiang

2018

International Journal of Antennas and Propagation

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To enhance the multiple interference suppression performance of global navigation satellite system (GNSS) receivers without extra antenna elements, a space-time-frequency adaptive processor (STFAP) is investigated. Firstly, based on the analysis of the autocorrelation function of the multicomponent signal, we propose a common period estimation and data block technique to segment the received signal data into blocks. Secondly, the signal data in each block are short-time Fourier transformed into time-frequency (TF) domain, and the corresponding TF points with similar frequency characteristics are regrouped to structure space-time-frequency (STF) data matrixes. Finally, a space-time-frequency minimum output power-(STF-MOP) based weight calculation method is introduced to suppress multiple interfering signals according to their sparse characteristics in TF and space domains. Simulation results show that the proposed STFAP can effectively combat more wideband periodic frequencymodulated (WBPFM) interferences even some of them arriving from the same direction as GNSS signals without increasing the number of antenna elements.

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Section: Advantages Of the Proposed Methodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Space-Time-Frequency Adaptive Processor for Multiple Interference Suppression in GNSS Applications

Guo

Xiang

2018

International Journal of Antennas and Propagation

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“…In recent years, due to the widespread use of the satellite navigation and timing services in different technologies, the problem of interference mitigation for the global positioning system (GPS) receivers has drawn considerable attention . Controlled reception pattern antenna (CRPA) arrays are known as a robust solution to the radio frequency interference (RFI) problem . In these type of arrays, the pattern of the array is adaptively controlled by a processor and nulls are directed toward interferers in the angular space.…”

Section: Introductionmentioning

confidence: 99%

A CRPA array with dual‐mode patch antenna elements for GPS applications

Rezazadeh

Shafai

2018

Micro & Optical Tech Letters

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A controlled reception pattern antenna (CRPA) array consisting of three dual‐mode microstrip patch antennas is designed and investigated for GPS interference mitigation applications. Each dual‐mode element consists of a dominant‐mode disk patch antenna encircled by a dual‐polarized shorted ring patch antenna. The measured input and radiation parameters of a prototype array are presented. The null‐steering performance of the array is demonstrated using a simple adaptive algorithm and is shown to be superior to the conventional planar arrays.

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“…Antenna array processing in GNSS applications has been mostly centered on interference suppression [1,2,3,4]. GNSS array based interference countermeasures can be categorized into two approaches.…”

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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Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Cited by 107 publications

References 66 publications

Space-Time-Frequency Adaptive Processor for Multiple Interference Suppression in GNSS Applications

Space-Time-Frequency Adaptive Processor for Multiple Interference Suppression in GNSS Applications

A CRPA array with dual‐mode patch antenna elements for GPS applications

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

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