This work proposes a novel sparsity-based decomposition method for the correlator output signals in GPS receivers capable of detecting spoofing attacks.

We formulate an optimization problem at the receiver correlator domain by using the Least Absolute Shrinkage and Selection. Operator (LASSO) to find sparse code ...

This work proposes a novel sparsity-based decomposition method for the correlator output signals in GPS receivers capable of detecting spoofing attacks that ...

We formulate an optimization problem at the baseband correlator domain by using the Least Absolute Shrinkage and Selection Operator (LASSO). We model correlator ...

Apr 1, 2020 · We formulate an optimization problem at the receiver correlator domain by using the Least Absolute Shrinkage and Selection Operator (LASSO) to ...

Feb 5, 2020 · The multi-LASSO is able to detect spoofer peaks with a higher ... Discriminates correlator peaks with high-resolution. Tunable. Ref. [29].

A GPS spoofing detection and classification correlator-based technique using the LASSO E Schmidt, N Gatsis, D Akopian IEEE Transactions on Aerospace and ...

We formulate an optimization problem at the baseband correlator domain by using the Least Absolute Shrinkage and Selection Operator (LASSO). We model correlator ...

This work proposes a global navigation satellite system (GNSS) spoofing detection and classification technique for single antenna receivers.

Apr 27, 2020 · This article proposes a global navigation satellite system (GNSS) spoofing detection and classification technique for single-antenna ...