A Spaceborne Passive Localization Algorithm Based on MSD-HOUGH for Multiple Signal Sources

Liting Zhang*, Hao Huan, Tao Ran, Shangyu Zhang, Yushu Zhang, Hao Ding

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Recently, the passive synthetic aperture (PSA) technique has been used in passive localization to improve the position accuracy of single source by estimating the Doppler parameter of the received signal. However, in the presence of multiple sources, time-frequency aliasing will lead to serious cross-term interference during Doppler signal extraction, resulting in low localization performance. To solve this problem, a spaceborne passive synthetic aperture localization algorithm based on the multiple-stay detector HOUGH transform (MSD-HOUGH) is proposed in this paper. Firstly, an improved convolutional neural network based on the adaptive histogram equalization method (AHE-CNN) is proposed to achieve source number estimation. Then, the PSA Doppler equations are established in the HOUGH domain, which can suppress the cross-term interference of the multiple emitters. Meanwhile, a multiple-stay detector (MSD) is designed to reduce the pseudo-peaks in HOUGH domain. The estimated source number determines when the MSD will be terminated. Finally, a PSA cost function is established based on the estimated Doppler parameter to achieve signal source localization. Experimental results show that compared with other localization methods, the proposed algorithm has a significant improvement for multiple signal source localization.

源语言英语
文章编号4303
期刊Remote Sensing
16
22
DOI
出版状态已出版 - 11月 2024

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Zhang, L., Huan, H., Ran, T., Zhang, S., Zhang, Y., & Ding, H. (2024). A Spaceborne Passive Localization Algorithm Based on MSD-HOUGH for Multiple Signal Sources. Remote Sensing, 16(22), 文章 4303. https://doi.org/10.3390/rs16224303