Final Report of BeJamDetect Project 
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allowed for the rough direction-of-arrival (r-DoA) estimation. Via the spectrograms, the PSDs and 
the time plots, the interference signal can be classified according to their time-fregquency 
characteristics. 
The post-correlation computed the acquisition of the satellites and their respective carrier-to-noise 
ratio (C/NO) values, and plotted the distribution of the satellites in the visible constellation. This was 
done using a custom acquisition algorithm developed in DLR-KN. 
The rough direction-of-arrival is determined by the analysis of the most-affected antennas of the 
GALANT receiver, represented by the antennas which had the largest input power gain with respect 
to nominal values. This information is crossed with the ship’s position and heading, both provided 
by the available AIS data of the ship. Since the time of the AIS data recording and the time of the 
avent snapshot might not match, the most recent AIS data with respect to the event time is adopted 
for this analysis. 
The post-correlation acquisition results are obtained from an algorithm tailored for acquiring the 
satellites with the coarse acquisition from all the antennas and a subsequent refinement (yielding 
the fine acquisition) of only the top antenna array element. This leads to the scenario in which all 
satellites are acquired by the top element in the acquisition stages. 
Post-correlation results are mainly expressed as lists of the pseudo-random noise (PRN) codes 
2quivalent to the satellites that could be acquired and the respective C/NO of each satellite. On 
every event, the snapshot containing the interference is submitted to the acquisition, yielding the 
C/NO values of the acquired satellites, the C/NO of the calibration signal (denoted by PRN 33) and 
the mean C/NO. The calibration signal and mean C/NO of an interference are compared to their 
‚espective parts under nominal conditions, using all the nominal snapshots taken on the day of the 
interference. An average is taken for them to represent the nominal C/NO0 metrics. 
Post-correlation processing is carried out for both main satellite navigation systems GPS and Galileo, 
in order to provide a quick reference of the signal acquisition performance in the European 
navigation system. 
3.3 Experimental set-up 
In contrast to the set-up used in the SiNafa project in the past, the implementation of the 
Demonstrator 1 uses a single Nutaqg platform (see Figure 3-10). In order to allow for this, additional 
modules have been added to the FPGA code running on the Nutaq platform. These modules are: 
A generator of the calibration signal for L1 band providing a BPSK signal without data 
modulation, spreading code of GPS L1 PRN 160 is used. 
A generator of the calibration signal for L5 band providing a BPSK signal without data 
modulation, spreading code of GPS L5-I PRN 37 is used. 
A generator of 10 MHz clock output that is used as a clock reference by the L1 and L5 RF- 
front-ends (the front-ends have no own clocks). 
The adapted FPGA code has been programmed on one of two flash-memory slots so that the Nutag 
olatform can run FPGAs with this code at start. Another memory slot is occupied by the FPGA code 
af the GALANT receiver using 4-element antenna array, which is helpful for testing basic 
functionalities of the measurement set-up. 
Nitle: Final Report 
Version: 1.0 
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