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GNSS interference detection using a compressed sensing analog to information converter approach

: Rügamer, A.

Institute of Navigation -ION-, Manassas/Va.:
Institute of Navigation International Technical Meeting, ITM 2013 : San Diego, California, USA, 28 - 30 January 2013
Red Hook, NY: Curran, 2013
ISBN: 978-1-62748-138-0
Institute of Navigation (ION ITM International Technical Meeting) <2013, San Diego/Calif.>
Fraunhofer IIS ()

GNSS signals are extremely susceptible to all types of interference. Therefore the GNSS bands should be constantly monitored to detect possible threats. Since the GNSS bands are up to 100 MHz wide, receivers sampling at a Nyquist rate (i.e. at least twice the bandwidth) have very stringent requirements in terms of data rates and data storage. In this paper, a compressed sensing random demodulator analog-to-information converter (AIC) architecture for interference detection is proposed. In this approach, only a sub-Nyquist sampling rate is required which greatly reduces the ADC requirements and the size of the raw data output file. For interference detection and recovery the AIC output is tested against several given interference models (assumed as a priori knowledge) using specific reconstruction algorithms. If successful, the original interference signal can be recovered. The structure of the AIC, the signal recovery, and the modeling of the interference source are described in detail. Moreover the performance of this method is assessed for three types of interference (CW, chirp, and pulse). Specifically, the interference detection probability is evaluated as a function of the interferences' signal-to-noise ratio (SNR) and of the downsampling factor used in the AIC.