Paper
10 October 2023 Harmonic frequency and direction joint estimation for airborne acoustic target localization
Hongbin He, Yong Chen, Xingfang Luo
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994C (2023) https://doi.org/10.1117/12.3005840
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
For the line spectrum detection of airborne sound, sometimes there may be errors in the fundamental frequency of the signal. Moreover, the line spectrum detection only considers the frequency band of the signal fundamental frequency, so the utilization rate of harmonic frequency energy is low. To solve these problems, this paper proposes a joint estimation method of harmonic frequency and direction in airborne acoustic target location based on microphone array. First, using the characteristics of line spectrum signal, minimum variance distortionless response (MVDR) beam scanning is carried out in the frequency band where the signal fundamental frequency is located to avoid fundamental frequency error. Then, according to the frequency multiplication relationship between fundamental frequency and harmonic, the superposition of harmonic frequency energy is used to ensure the peak value of target signal in frequency domain and azimuth. Through Matlab simulation and experimental data analysis, the effectiveness of this method is proved.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hongbin He, Yong Chen, and Xingfang Luo "Harmonic frequency and direction joint estimation for airborne acoustic target localization", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994C (10 October 2023); https://doi.org/10.1117/12.3005840
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fourier transforms

Superposition

Target detection

Back to Top