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Information Journal Paper

Title

TWO NEW INTELLIGENT METHODS FOR DETECTING AND CANCELLING SPOOFING EFFECTS ON GPS RECEIVERS

Pages

  71-81

Abstract

 One of the goals of SPOOFING nowadays is to provide the GPS receiver a fake signal. This way, the receiver will produce misleading time and position problems. This paper proposes two new methods for detecting and cancelling SPOOFING in GPS receivers. These anti-SPOOFING methods use KALMAN FILTER and recurrent neural network to mitigate SPOOFING effects on GPS receivers. These methods are also used as an adaptive reduction factor to overcome SPOOFING effects. The performance of proposed method is analyzed in presence of SPOOFING signals. Experimental results show that the average PSEUDO-RANGE RMS error improvement is 45% and 65% for KALMAN FILTER based method and RECURRENT NEURAL NETWORKS based method, respectively.

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    APA: Copy

    MOSAVI, MOHAMMAD REZA, REZAEI, MOHAMMAD JAVAD, HOSSEINZADEH, NIMA, & KIAAMIRI, SEYED RAMIN ALI. (2014). TWO NEW INTELLIGENT METHODS FOR DETECTING AND CANCELLING SPOOFING EFFECTS ON GPS RECEIVERS. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 2(1 (5)), 71-81. SID. https://sid.ir/paper/243200/en

    Vancouver: Copy

    MOSAVI MOHAMMAD REZA, REZAEI MOHAMMAD JAVAD, HOSSEINZADEH NIMA, KIAAMIRI SEYED RAMIN ALI. TWO NEW INTELLIGENT METHODS FOR DETECTING AND CANCELLING SPOOFING EFFECTS ON GPS RECEIVERS. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2014;2(1 (5)):71-81. Available from: https://sid.ir/paper/243200/en

    IEEE: Copy

    MOHAMMAD REZA MOSAVI, MOHAMMAD JAVAD REZAEI, NIMA HOSSEINZADEH, and SEYED RAMIN ALI KIAAMIRI, “TWO NEW INTELLIGENT METHODS FOR DETECTING AND CANCELLING SPOOFING EFFECTS ON GPS RECEIVERS,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 2, no. 1 (5), pp. 71–81, 2014, [Online]. Available: https://sid.ir/paper/243200/en

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