Abstract
In this paper, evolutionary algorithm is used to optimize the flicker function of band-limited Gaussian noise interference, which disturbs the convergence of adaptive algorithm based on LMS in GPS receiver, so that the average null depth of GPS receiver under equal power is lower, and better jamming effect is achieved. The simulation results show that the jamming algorithm in this paper has better jamming effect than the band-limited Gaussian noise jamming in different jamming quantity.
Highlights
The traditional suppressed GPS jammer can not decode the GPS receiver correctly by transmitting jamming signal with higher power than GPS signal
The antenna array is used in the nulling GPS receiver, and the interference direction is nullified by the adaptive algorithm, which has significant anti-jamming effect on the traditional suppression jamming mode
For GPS receiver based on LMS, this paper proposes an interference algorithm which optimizes the jamming scintillation function by evolutionary algorithm
Summary
The traditional suppressed GPS jammer can not decode the GPS receiver correctly by transmitting jamming signal with higher power than GPS signal. The antenna array is used in the nulling GPS receiver, and the interference direction is nullified by the adaptive algorithm, which has significant anti-jamming effect on the traditional suppression jamming mode. In reference [5], a pulse jamming method for GPS nulling is proposed. The influence of band-limited Gaussian noise on different bandwidth is evaluated in reference [6]. Reference [7] gives the optimal interference power difference of GPS receiver for fixed step LMS. For GPS receiver based on LMS, this paper proposes an interference algorithm which optimizes the jamming scintillation function by evolutionary algorithm. Compared with the band-limited Gaussian noise, the proposed algorithm has a significant performance gain when the number of interferences is large.
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