2013
DOI: 10.1109/taes.2013.6494387
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Analytical Performance of GNSS Receivers using Interference Mitigation Techniques

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Cited by 29 publications
(15 citation statements)
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“…We can choose a data frame with N continuous samples for every block for PSD estimation and L averaged PSDs can be computed over M pulse periods, separately. For the case of f s ¼ 4:092 MHz, T min p ¼ 1 ms, T max p ¼ 2:5 ms and max ¼ 10% for primary Lband radars [5], we can set N ¼ 1024 and L ¼ 3, for example.…”
Section: Proposed Techniquementioning
confidence: 99%
See 1 more Smart Citation
“…We can choose a data frame with N continuous samples for every block for PSD estimation and L averaged PSDs can be computed over M pulse periods, separately. For the case of f s ¼ 4:092 MHz, T min p ¼ 1 ms, T max p ¼ 2:5 ms and max ¼ 10% for primary Lband radars [5], we can set N ¼ 1024 and L ¼ 3, for example.…”
Section: Proposed Techniquementioning
confidence: 99%
“…Periodic-pulsed interference (PPI) and narrowband interference (NBI) are two types of detrimental interference for Global Navigation Satellite System (GNSS) receivers [1] and the immunity of single antenna GNSS receivers against PPI and NBI can be greatly enhanced by the corresponding mitigation techniques [2,3,4]. The typically PPI sources for GNSS receivers are transmitted from DME/TACAN, primary L-band radars, AEW&C L-band radars and TADIL-J/Link-16 [5]. NBIs could originate from amplitude modulation, frequency modulation stations transmitters harmonics or intentional continuous wave (CW) jammers, etc.…”
mentioning
confidence: 99%
“…In [4]- [7], coexistence scenarios of GSO and LEO networks are analyzed considering mainly in-line interference that arises whenever a LEO satellite passes through a line of sight path between an earth station and a GSO satellite. Most of those works analyze uplink and downlink scenarios where coverage areas of LEO and GSO satellites are overlapping.…”
Section: Introductionmentioning
confidence: 99%
“…Research on mitigation techniques for GNSS receivers has drawn increasing attention [9][10][11]. Omar derived measures of the code tracking error in receivers using time-domain blanking and frequency-domain adaptive filtering [9].…”
Section: Introductionmentioning
confidence: 99%