Performance Comparison of Nature-Inspired Optimization Algorithms Applied to MVDR Technique for Canceling Multiple Access Interference Signals

Shahab, Suhail Najm; Zainun, Ayib Rosdi; Noordin, Nurul H.; Ibrahim, Izzeldin

doi:10.17485/ijst/2018/v11i3/92398

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…Studied the performance of the MVDR algorithm in the presence of impulse noise and proposed a new robust extension of the empirical MVDR beamformer [39]. Deduces the approximate analytical expression of the output SINR under limited data in the presence of steering vector errors, and analyzes the performance of one-bit quantized MVDR and pure-phase MVDR beamformers [40]. Proposed two improved MVDR algorithms, MVDR-PSO and MVDR-GSA algorithms, to improve the signal to interference plus noise ratio (SINR) gain in the condition of limited snapshots or Multiple Access Interference (MAI) signals existing [41,42].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of repeater spoofing suppression based on GNSS multi-beam receiver

Ren

Chen²,

Ni³

et al. 2022

Front. Phys.

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In order to analyze the anti-spoofing performance of the Global Navigation Satellite System (GNSS) multi-beam anti-jamming receiver in the presence of direct repeater spoofing, this paper deduces the theoretical formulas of the output real signal and the direct repeater spoofing signal power of the multi-beam anti-jamming receiver using the minimum variance distortionless response (MVDR) algorithm, when the number of snapshots is limited. The influence of the power of the spoofing signal reaching the surface of the antenna array on the output power of the real signal and the spoofing signal is analyzed in detail. The analysis shows that no matter how the power of the direct repeater spoofing signal is set, the multi-beam anti-jamming receiver using the MVDR algorithm can always suppress the spoofing below the real signal power level, and the suppression effect is more significant when the spoofing signal-to-noise ratio is high. Finally, the correctness of the conclusion is verified by simulation.

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