Abstract
Interference can significantly degrade the performance of global navigation satellite system (GNSS) receivers. Therefore, mitigation methods are required to ensure reliable operations. However, as there are different types of interference, robust, multi-purpose mitigation algorithms are needed. This paper describes the most popular state-of-the-art interference mitigation techniques. The high-rate DFT-based data manipulator (HDDM) is proposed as a possible solution to overcome their limitations. This paper presents a hardware implementation of the HDDM algorithm. The hardware HDDM module is integrated in three different receivers equipped with analog radio-frequency (RF) front-ends supporting signals with different dynamic range. The resource utilization and power consumption is evaluated for the three cases. The algorithm is compared to a low-end mass-market receiver and a high-end professional receiver with basic and sophisticated interference mitigation capabilities, respectively. Different type of interference are used to compare the mitigation capabilities of the receivers under test. Results of the HDDM hardware implementation achieve the similar or improved performance to the state of the art. With more complex interferences, like frequency hopping or pulsed, the HDDM shows even better performance.
Highlights
Interference events in the global navigation satellite system (GNSS) frequency bands are increasing [1,2,3,4,5]
It shows that the mass-market receiver has probably no or only basic interference mitigation capabilities
Once the received signal is in saturation, due to the limited dynamic range, the harmonic distortion caused by clipping restricts any interference mitigation
Summary
Interference events in the global navigation satellite system (GNSS) frequency bands are increasing [1,2,3,4,5]. Many different waveforms cause interference [5], including signal modulations as pulsed noise, frequency-modulated continuous-wave (FMCW) ( referred to as “chirp” or “swept frequency” signals), frequency hopping, matched spectrum, or a combination of any of these. This diversity of interference waveforms make the development of a mitigation methods challenging—especially considering future waveform. Advanced receiver-specific properties, such as considering the dynamic range of the analog-to-digital converter (ADC) or coherency between the pseudo-random noise (PRN) codes used by GNSSs, exist [13] These require specific information for the receiver and each signal. They are considered outside the scope of this paper
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