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一种基于二维联合扩展特性的高空气爆引信精确测高方法。

An Accurate Altimetry Method for High-Altitude Airburst Fuze Based on Two-Dimensional Joint Extension Characteristics.

作者信息

Pan Liwen, Zhang Yao, Wang Qianyu, He Shuhuan, Pan Xi

机构信息

School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Sensors (Basel). 2025 Apr 6;25(7):2329. doi: 10.3390/s25072329.

DOI:10.3390/s25072329
PMID:40218841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11991249/
Abstract

Considering the challenge of precise altimetry for high-altitude airburst fuzes, this paper proposes a two-dimensional joint extension characteristic altimetry method based on an improved constant false alarm rate (CFAR) detection and an accurate feature region extraction approach. First, an improved CFAR detection method with secondary protection windows is introduced to effectively mitigate the masking effect caused by conventional CFAR algorithms. The fuze-to-ground distance-based height measurement is achieved by leveraging the geometric relationship between the maximum and minimum slant distances and the impact angle. Then, to enhance altimetry accuracy under low signal-to-noise ratio (SNR) conditions, a 2D joint accurate altimetry approach is implemented by integrating Doppler-dimension extension characteristics with the conventional range-based method. The estimated impact angle is further refined using the proposed feature region extraction method. The final results demonstrate that for high-altitude airburst fuzes operating at burst altitudes between 70 m and 100 m, the proposed 2D joint altimetry algorithm provides more accurate and robust distance measurements. Under an SNR of -10 dB, the root mean square error (RMSE) is less than 2.38 m, with an error rate of approximately 3%. Notably, even at an SNR of -15 dB, the RMSE remains below 4.76 m, with an error rate not exceeding 5%, highlighting the robustness of the proposed method under low-SNR conditions.

摘要

针对高空气爆引信精确测高面临的挑战,本文提出了一种基于改进的恒虚警率(CFAR)检测和精确特征区域提取方法的二维联合扩展特征测高方法。首先,引入一种带二级保护窗的改进CFAR检测方法,有效减轻传统CFAR算法造成的遮蔽效应。利用最大和最小斜距与着角之间的几何关系实现基于引信到地面距离的高度测量。然后,为提高低信噪比(SNR)条件下的测高精度,通过将多普勒维扩展特征与传统的基于距离的方法相结合,实现了一种二维联合精确测高方法。利用所提出的特征区域提取方法进一步细化估计的着角。最终结果表明,对于在70米至100米之间的爆高工作的高空气爆引信,所提出的二维联合测高算法提供了更准确、更稳健的距离测量。在SNR为-10 dB的情况下,均方根误差(RMSE)小于2.38米,误差率约为3%。值得注意的是,即使在SNR为-15 dB时,RMSE仍低于4.76米,误差率不超过5%,突出了所提出方法在低SNR条件下的稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/cbf40e16e55d/sensors-25-02329-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/f0ea4339ef99/sensors-25-02329-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/f50cdf3bd03b/sensors-25-02329-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/cbf40e16e55d/sensors-25-02329-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/f0ea4339ef99/sensors-25-02329-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/f50cdf3bd03b/sensors-25-02329-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb1e/11991249/cbf40e16e55d/sensors-25-02329-g004.jpg

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