International Journal of Nonlinear Analysis and Applications

Anti-spoofing by smart acquisition in cold-start with multiple hypothesis using wavelet transform in a software GPS receiver

Document Type : Research Paper

Authors

1 Department of Engineering Sciences, Advanced Technologies, University of Mohaghegh Ardabili, Namin, Iran

2 Department of Electrical Engineering, Iran University of Science and Technology,

Abstract

The spoofing subject is becoming ever increasingly more severe. In addition to the flow of technology, the availability of software-defined radio platforms has increased. Usually, detecting the spoofing is performed by introducing the features that are difficult for the deceiver to counterfeit. Spoofing and countering can be performed in different parts of a GPS receiver. In recent years, less attention has been paid to defense at cold-start. This research presents that the spoofing attack can be diminished during the initial start-up process with a very short effective time. This low-cost method introduces a new decision rule based on a multiple statistical hypothesis test to identify fake peaks in correlation output of acquisition and extract the authentic peaks utilizing the wavelet transform or peak removal process. The main distinction of this method with previous works is investigating different amplitude ratios of spoofing signal to authentic. Simulation results on 10 data sets show that the probability of correct detection and mitigation is more than 90%.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 16, Issue 1
January 2025
Pages 147-161
  • Receive Date: 17 December 2023
  • Accept Date: 01 February 2024