2018
DOI: 10.1007/s10291-018-0764-4
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Adaptive blind anti-jamming algorithm using acquisition information to reduce the carrier phase bias

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Cited by 15 publications
(19 citation statements)
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“…Hence PI is implemented in a pre-correlation structure, as shown in Figure 1(b). To further enhance the satellite signal quality while nulling high power interference, beam gain can be formed in each satellite direction (Daneshmand et al, 2013a;Jia et al, 2018). The beam gain forming weight can be obtained by using the DOA from the satellite ephemeris and the coarse receiver position, hence it can be implemented as the pre-correlation structure, see Figure 1(c) (Daneshmand et al, 2013a;Broumandan et al, 2016).…”
Section: Techniques For Array Antennamentioning
confidence: 99%
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“…Hence PI is implemented in a pre-correlation structure, as shown in Figure 1(b). To further enhance the satellite signal quality while nulling high power interference, beam gain can be formed in each satellite direction (Daneshmand et al, 2013a;Jia et al, 2018). The beam gain forming weight can be obtained by using the DOA from the satellite ephemeris and the coarse receiver position, hence it can be implemented as the pre-correlation structure, see Figure 1(c) (Daneshmand et al, 2013a;Broumandan et al, 2016).…”
Section: Techniques For Array Antennamentioning
confidence: 99%
“…The beam null forming method LCMP is used in this paper to assist the discussion. The objective function of LCMP is given by (Jia et al, 2018;Wu et al, 2018) min…”
Section: Lcmp (Multipath Doa Required)mentioning
confidence: 99%
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“…The algorithm performs quite well in high-power suppression jamming in the radar and navigation field [14][15][16][17], and through algorithm improvement, it has better performance [18]. Proposed an adaptive anti-jamming dualpolarized ellipsoid minimum variance distortionless response (EMVDR) method, while improving the anti-interference performance, the GPS coverage ratio can keep from 60% to 70% [19]. Used the MVDR improvement algorithm for GNSS high precision applications in the presence of jamming and achieved good results [20].…”
Section: Introductionmentioning
confidence: 99%
“…Besides, the GNSS signal is very weak, it comes from 20,000-30,000 kilometers away and is vulnerable to unintentional radio frequency interference or malicious interference (jamming and spoofing) [6], [7]. Therefore, it is of great significance to enhance the reliability and positioning accuracy of GNSS by other means [8].…”
Section: Introductionmentioning
confidence: 99%