Page 179 - 《应用声学》2023年第6期
P. 179

第 42 卷 第 6 期                                                                       Vol. 42, No. 6
             2023 年 11 月                         Journal of Applied Acoustics                 November, 2023

             ⋄ 研究报告 ⋄



                    基于频谱Sevcik维数的目标运动速度估计                                                           ∗






                                   赵晓静 高大治            †   孙 凯 李玉征 郭豆豆


                                           (中国海洋大学信息科学与工程学部          青岛   266100)

                摘要：在声目标无源估计应用中，目标与接收器存在相对运动时，接收的目标辐射的噪声信号存在多普勒频
                移。多普勒频移中包含目标的运动参数信息。针对线谱信号多普勒频移目标运动参数获取问题，提出一种基
                于频谱 Sevcik 维数的目标运动速度获取方法。首先利用 Doppler-warping 变换对接收信号进行重采样，然后
                对重采样后的频谱信号求 Sevcik 维数，最后通过寻找 Sevcik 最小值来实现速度估计。仿真证实了所提方法的
                有效性，在相同仿真条件下，所提方法相较于频谱求熵算法，速度搜索结果不仅具有更窄的主瓣宽度，而且可
                提高抗噪性 5 dB 左右。两组实验数据的速度估计误差小于 5%，证明了该文算法的有效性。
                关键词：多普勒频移；Sevcik 维数；速度估计
                中图法分类号: TN911.72           文献标识码: A          文章编号: 1000-310X(2023)06-1289-08
                DOI: 10.11684/j.issn.1000-310X.2023.06.022




                    Estimation of target velocity based on Sevcik dimension of spectrum



                           ZHAO Xiaojing GAO Dazhi       SUN Kai    LI Yuzheng    GUO Doudou

                       (Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China)

                 Abstract: In acoustic target passive estimation applications, when there is motion relative to the target, there
                 is a Doppler shift in the noise signal radiated by the received target. The Doppler shift contains information
                 about the motion parameters of the target. Aiming at the problem of obtaining the motion parameters of the
                 Doppler shift target of the line spectral signal, a method for obtaining the motion speed of the target based on
                 the Sevcik dimension of the spectrum is proposed. The received signal is resampled using the Doppler-warping
                 transform, then Sevcik dimensions are obtained for the resampled spectral signal, and finally the speed estimate
                 is achieved by looking for the Sevcik minimum. Simulation confirms the effectiveness of the proposed method,
                 under the same simulation conditions, the proposed method compared with the spectrum entropy algorithm,
                 the speed search results not only have a narrower main lobe width, but also can improve the noise immunity of
                 about 5 dB. The speed estimation error of the two sets of experimental data is less than 5%, which demonstrates
                 the effectiveness of the proposed algorithm.
                 Keywords: Doppler frequency shift; Sevcik dimension; Velocity estimation






             2022-07-03 收稿; 2022-09-02 定稿
             国家自然科学基金项目 (11874331)
             ∗
             作者简介: 赵晓静 (1997– ), 女，山东烟台人, 硕士研究生, 研究方向: 水声信号处理。
             † 通信作者 E-mail: dzgao@ouc.eud.cn
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