针对浅海混响背景下频域自适应匹配滤波器检测性能下降的问题，提出基于分数阶傅里叶变换（FRFT）的频域自适应匹配滤波器检测方法，该方法利用模板匹配技术，采用滑动窗对接收信号进行最优阶次分数阶傅里叶变换，然后将此过程中得到的FRFT域图与参考信号最优阶次傅里叶变换FRFT域图进行匹配，将离差平方和作为评价相似度的指标，即对离差平方和最小值的位置进行滤波，并对滤波后的信号进行最优阶次分数阶傅里叶逆变换，从而实现混响背景下的目标检测。仿真结果表明，在信混比为?15 dB的情况下，该算法可显著提高频域自适应匹配滤波器的检测性能。
To solve the problem of the degradation of the detection performance of the frequency domain adaptive matching filter in shallow sea reverberation background, a frequency domain adaptive matching filter detection method based on fractional Fourier transform (FRFT) is proposed. The method uses template matching technology and sliding window to perform the optimal fractional Fourier transform on the received signal. Then, the FRFT domain map obtained in this process is matched with the FRFT domain map of the reference signal with the optimal order Fourier transform, and the sum of the squares of deviation is used as the index to evaluate the similarity, that is, the position of the minimum sum of the squares of deviation is filtered, and the optimal order fractional inverse Fourier transform is carried out on the filtered signal, so as to realize the target detection under the reverberation background. Simulation results show that the proposed algorithm can significantly improve the detection performance of the frequency-domain adaptive matching filter when the signal-mixing ratio is -15dB.
2024,46(5): 69-73 收稿日期：2023-03-15
DOI：10.3404/j.issn.1672-7649.2024.05.013
分类号：U676.6+1
基金项目：装备预研基金项目（6140415031）
作者简介：梁琴(1991-),女,硕士,工程师,研究方向为水下目标探测技术
参考文献：
[1] 郝程鹏, 施博, 闫晟, 等. 主动声呐混响抑制技术与目标检测技术[J]. 科技导报, 2017, 35(20): 102-108.
[2] 兰同宇, 周胜增. 一种级联型自适应滤波器的混响抑制技术[J]. 舰船科学技术, 2021, 43(3): 130-133.
[3] COX H, LAI H. Geometric comb waveforms for reverberation suppression[C]//Proceeding of IEEE, 1995, 154(6): 347-352.
[4] 姚东明, 蔡志明. 主动声呐梳状谱信号研究[J]. 信号处理, 2006(2): 256-259.
[5] KAY S, SALISBURY J. Improved active sonar detection using autoregressive prewhiteners[J]. Journal of the Acoustical Society of America. 1900, 87(4): 1603-1611.
[6] 舒象兰, 孙荣光, 马鑫. 强混响背景下LFM信号回波检测[J]. 电讯技术, 2016, 56(1): 82-87.
[7] 张宗堂, 杨锡铅, 戴卫国. 混响背景下回波信号起始位置提取[J]. 舰船电子工程, 2014, 11: 73-76.
[8] 石亚莉. 多基地混响模拟及抑制技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2018.
[9] 赵智姗. 基于匹配滤波器的频域自适应线谱增强技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2018.
[10] HUANG Xiang, ZHANG Linrang, ZHANG Juan, et al. Efficient angular chirp-Fourier transform and its application to high-speed target detection[J]. Signal Processing, 2019, 164: 234-248.
[11] MIAO Hongxia, ZHANG Feng, TAO Ran. Fractional Fourier analysis using the Möbius inversion formula[J]. IEEE Transactions on Signal Processing, 2019, 67(12): 3181-3196.
[12] 徐伟, 许传, 马艳秋, 等. 一种基于分数阶傅里叶变换的主动声自导回波检测方法[J]. 舰船科学技术, 2022, 44(2): 161-165.
[13] 刘利民, 李豪欣, 李琦, 等. 基于分数阶傅里叶变换的低信噪比线性调频信号参数快速估计算法[J]. 电子与信息学, 2021, 43(10): 2798-2804.
[14] 董仲臣, 李亚安, 金彦丰. 鱼雷浅海海底混响建模及仿真[J]. 鱼雷技术, 2013, 21(2): 100-104.
