The magnetoelectric (ME) antenna based on the piezoelectric resonance principle can solve the problems of large size and high power consumption of traditional low-frequency electrical antennas. However, the acoustic impedance mismatch between the adhesive layer in the magnetoelectric composite and the piezoelectric and ferromagnetic phases significantly hinders the stress transfer in the magneto-mechanical-electric coupling process, ultimately limiting the magnetic radiation intensity of the magnetoelectric composite. To improve the magnetic emission performance of the PZT MFC/Metglas magnetoelectric composite, in this work, the two-dimensional filler MoS2 is adopted to fill and modify the adhesive layer of the PZT MFC/Metglas magnetoelectric composite, aiming to improve the acoustic impedance match between the adhesive layer and the ferroelectric and ferromagnetic phases. The influence of the MoS2 content on the magnetic emission intensity of the PZT MFC/Metglas magnetoelectric composite is systematically studied. The results show that when the filling weight percent of MoS2 is 1%, the magnetic emission intensity of the PZT MFC/Metglas magnetoelectric composite can reach 331 μT under the optimal bias, which is 1.5 times higher than that of the magnetoelectric composite without MoS2 filling. At a distance of 1 m, the magnetic emission intensity can reach 2.7 nT. The stress wave transfer mechanism in the electro-mechanical-magnetic coupling is discussed in conjunction with acoustic impedance matching theory. In addition, the amplitude shift keying modulation method demonstrates the lossless signal transmission capability of the magnetoelectric antenna composed of MoS2-modified PZT MFC/Metglas magnetoelectric composite. This method of optimizing the interfacial adhesive layer is simple and effective to expand the magnetoelectric response by increasing the stress wave transfer efficiency. Meanwhile, it provides a feasible solution for communication systems such as low-frequency underwater communication, underground sensing, and distributed wireless networks.
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