2016
DOI: 10.3390/s16030356
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An SDR-Based Real-Time Testbed for GNSS Adaptive Array Anti-Jamming Algorithms Accelerated by GPU

Abstract: Nowadays, software-defined radio (SDR) has become a common approach to evaluate new algorithms. However, in the field of Global Navigation Satellite System (GNSS) adaptive array anti-jamming, previous work has been limited due to the high computational power demanded by adaptive algorithms, and often lack flexibility and configurability. In this paper, the design and implementation of an SDR-based real-time testbed for GNSS adaptive array anti-jamming accelerated by a Graphics Processing Unit (GPU) are documen… Show more

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Cited by 14 publications
(9 citation statements)
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“…First, we solve the anti-interference vector normally according to the conventional spatial filtering algorithm, and find the spatial spectral function of the corresponding anti-jamming vector, Ffalse(ϕfalse)=bold-italicwHboldafalse(ϕfalse) where ϕ represents the angle of arrival, and boldafalse(ϕfalse) represents the steering vector of the signal [17,18]. boldafalse(ϕfalse)=false[1,ej2πdsinϕλ,,ej2πfalse(M1false)dsinϕλfalse]T as shown in Figure 18, d represents the element spacing, M represents the number of array element, λ represents the signal wavelength.…”
Section: Interference-nulling Control Algorithmmentioning
confidence: 99%
“…First, we solve the anti-interference vector normally according to the conventional spatial filtering algorithm, and find the spatial spectral function of the corresponding anti-jamming vector, Ffalse(ϕfalse)=bold-italicwHboldafalse(ϕfalse) where ϕ represents the angle of arrival, and boldafalse(ϕfalse) represents the steering vector of the signal [17,18]. boldafalse(ϕfalse)=false[1,ej2πdsinϕλ,,ej2πfalse(M1false)dsinϕλfalse]T as shown in Figure 18, d represents the element spacing, M represents the number of array element, λ represents the signal wavelength.…”
Section: Interference-nulling Control Algorithmmentioning
confidence: 99%
“…The DFT length M is set to 64. Within each frequency bin, the power inversion algorithm is adopted to generate bold-italicwboldfalse~false[mfalse] [7].…”
Section: Simulationmentioning
confidence: 99%
“…This SDRadar offers sufficient computational capability to support 4‐element antenna array up to 40Msps (mega samples per second). After that, a testbed [14] for anti‐jamming receiver was developed embedded with Space‐Time Adaptive Processing and Space‐Frequency Adaptive Processing. It further deploys the batch mode to fully take advantage of the parallelism resources provided by GPU.…”
Section: Introductionmentioning
confidence: 99%