Abstract
Aiming at the shortcomings that MUSIC symmetrical compressed spectrum (MSCS) was only applicable to the sound pressure array, and the half spectrum search couldn’t distinguish the space radiation source and the mirror radiation source, a vector sensors array MSCS energy azimuth estimation algorithm was proposed. The new study used the idea of dimensionality reduction to combine the sound pressure and the vibration velocity to reduce the 3D guidance vector to one dimension, so that MSCS algorithm could be applied to vector sensors array, and then introduced spatial energy spectral function to optimize MSCS to solve the problem that MSCS half spectrum search could not distinguish between the space radiation source and the mirror radiation source. As the energy spectrum function has good anti-noise performance, so the new algorithm’s anti-noise performance can be greatly improved. Finally, the correctness and validity of the algorithm are verified by simulation experiments.
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Acknowledgements
This work was supported by National Natural Science Foundation (11574120, U1636117), the Natural Science Foundation of Jiangsu province of china (BK20161359), Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX17_0604). the Open Project Program of the Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, China (UASP1503) and Six Talent Peaks project of Jiangsu Province.
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Wang, B., Chen, F., Chen, Y. et al. Energy DOA estimation of MUSIC symmetrical compressed spectrum on vector sensors array. Cluster Comput 22 (Suppl 4), 7917–7924 (2019). https://doi.org/10.1007/s10586-017-1493-0
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DOI: https://doi.org/10.1007/s10586-017-1493-0