基于非厄米传感的抗干扰声源定位方法OA

Sound source localization is crucial in industrial detection,medical diagnosis and defense,where accurate signal acquisition in noisy environments is essential.Recently,non-Hermitian physics has shown remarkable progress in improving sensing sensitivity owing to counterintuitive phenomena such as eigenvalue splitting near the exceptional point.However,these designs cannot effectively suppress noise,which limits high-fidelity signal acquisition and causes localization errors.We propose a sound source localization method based on non-Hermitian sensing,capable of suppressing noise disturbances while capturing signals.The underlying mechanism lies in a dynamical system with history-dependent Hamiltonian transitions,which confines signals to discrete states against noise interference.On this basis,one-dimensional acoustic array studies confirm that non-Hermitian sensing achieves accurate time-delay detection at different noise levels.When extended to two dimensions,simulations show that the proposed method reduces average distance and angular errors by approximately 82.11%and 68.37%,respectively,compared with conventional sensors.Our study provides a new approach for accurate sound source localization in noisy environments and highlights the potential of non-Hermitian physics in anti-interference target detection.