王心玲, 纪永刚, 任继红, 等, xxxx. 基于时频信息Toeplitz协方差重构的船载HFSWR展宽目标DOA估计[J]. 海洋科学进展, x(x): xx-xx. doi: 10.12362/j.issn.1671-6647.20231202001.
引用本文: 王心玲, 纪永刚, 任继红, 等, xxxx. 基于时频信息Toeplitz协方差重构的船载HFSWR展宽目标DOA估计[J]. 海洋科学进展, x(x): xx-xx. doi: 10.12362/j.issn.1671-6647.20231202001.
WANG X L, JI Y G, REN J H, et al, xxxx. Extended target DOA estimation for shipborne HFSWR based on Toeplitz covariance reconstruction with time-trequency information[J]. Advances in Marine Science, x(x): xx-xx. DOI: 10.12362/j.issn.1671-6647.20231202001
Citation: WANG X L, JI Y G, REN J H, et al, xxxx. Extended target DOA estimation for shipborne HFSWR based on Toeplitz covariance reconstruction with time-trequency information[J]. Advances in Marine Science, x(x): xx-xx. DOI: 10.12362/j.issn.1671-6647.20231202001

基于时频信息Toeplitz协方差重构的船载HFSWR展宽目标DOA估计

Extended Target DOA Estimation for Shipborne HFSWR Based on Toeplitz Covariance Reconstruction With Time-Trequency Information

  • 摘要: 船载高频地波雷达(High Frequency Surface Wave Radar, HFSWR)的平台机动运动会使目标回波信号发生展宽,引起目标回波幅度和信噪比降低,进而对目标波达方向估计(Direction of Arrival, DOA)产生不利的影响。针对船载地波雷达展宽目标DOA估计问题,本文提出了一种基于时频信息Toeplitz协方差重构的展宽目标DOA估计方法。该方法首先采用结合航向补偿的时频分析处理,来提取展宽目标信号的脊线,可为充分利用展宽目标时频信息来构建协方差矩阵奠定基础。然后对构建的协方差矩阵进行Toeplitz化,实现了非平稳噪声的抑制,提高了目标信噪比,解决了展宽目标信噪比下降的问题,从而实现目标的方位角估计。最后,通过仿真和实测数据对本文提出的方法进行验证,结果表明本文所提方法在相同信噪比和目标展宽程度下均方根误差比单峰值MUSIC和DBF方法减小了1.2°,证明了本文所提方法的有效性。

     

    Abstract: The platform manoeuvring motion of shipborne High Frequency Surface Wave Radar (HFSWR) can cause the target echo signal to expand, leading to a reduction in the target echo amplitude and signal-to-noise ratio, which adversely affects the DOA estimation of the target. To solve this problem, this paper proposes an extended target DOA estimation method based on Toeplitz covariance reconstruction with time-frequency information. Firstly, the method adopts a time-frequency analysis process combined with heading compensation to extract the ridges of the extended target signals, which lays the foundation for making full use of the time-frequency information of the extended target to construct the covariance matrix. Then, the constructed covariance matrix undergoes Toeplitzification, which suppresses the non-stationary noise, improves the target signal-to-noise ratio, and solves the problem of the degradation of the extended target’s signal-to-noise ratio, thus realizing the DOA estimation. Finally, the proposed method is validated by simulation and measured data, and the results show that the root mean square error of the proposed method is reduced by 1.2° compared to the single-peak MUSIC and DBF methods under the same SNR and target expansion, proving the effectiveness of the proposed method.

     

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