波束形成是声呐信号处理的关键技术，本文提出一种新的基于宽带时域解析信号的广义MUSIC自适应波束形成算法（TAMUSIC算法）。该算法将时域解析信号与改进的MUSIC算法相结合，对精确时延之后的宽带时域信号进行希尔伯特变换生成复数形式的时域解析信号，增加权向量自由度；通过增加调节指数构建新广义噪声子空间，解决了传统MUSIC算法信源数目估计不准带来的影响，提高算法鲁棒性；最后利用信号子空间和噪声子空间的正交性估计目标方位。仿真数据和海试数据处理的结果表明：TAMUSIC算法可以获得更尖锐的谱峰，提高目标的角度分辨力，增强了弱小目标的发现能力。
A new generalized MUSIC beam forming algorithm based on time-domain analytical wideband signal was proposed. The algorithm combined time-domain analytical signal with the improved MUSIC algorithm, which generated a complex time analytical signal by Hilbert transformer after accurate time delay from wideband signal, and increased the weight vector degrees of freedom. A new generalized noise subspace was established by adding the adjusting index, which removed influences of conventional algorithm and improved the robustness. Finally, the DOA was estimated by orthogonal character of signal subspace and noise subspace. The results of simulation data and sea trial data show that the algorithm can get sharper peaks, improve the target angular resolution and improve the ability of weak target detection.
2017,39(10): 107-111 收稿日期：2017-05-26
DOI：10.3404/j.issn.1672-7649.2017.10.021
分类号：TN911
作者简介：李智忠(1979-),男,博士,副教授,研究方向为声呐信号处理
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