Maintaining phase consistency under noisy conditions is a key issue in high-fidelity signal transmission. Traditional single-threshold phase detection methods rely on history-independent polarity discrimination, rendering them prone to waveform distortion. Non-Hermitian systems, although promising for sensitivity enhancement, remain susceptible to noise-induced eigenvalue fluctuations. Here, we theoretically propose and experimentally demonstrate a nonlinear non-Hermitian memory system (NNHMS) for noise-resilient phase detection based on a non-Foster circuit. The NNHMS embeds prior state information of signals into Hamiltonian switching, producing a memory region that confines signals to discrete states against external disturbances and thus ensuring reliable phase fidelity. By mapping the nonlinear memory effect to electronic dynamics, we experimentally observe a tunable Hamiltonian transition originating from loss engineering, enabling the NNHMS to adapt to different noise intensities. As a representative example, we apply the system to acoustic vortex phase detection, achieving a significant increase in signal similarity (approximately $76\%$) relative to traditional methods. Good agreement between experimental and numerical results verifies the effectiveness of our proposed NNHMS. The demonstrated nonlinear non-Hermitian memory effect opens a new route for noise-immune phase preservation in fields ranging from biomedical monitoring to industrial diagnostics.

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• Acoustic vortices
• Acoustics
• Fluctuations & noise
• Sound detection
• Dynamical systems
• Non-Hermitian systems
• Nonlinear waves
• Coupled mode theory