基于水声扩频信号的空时分簇DoA 估计算法. (Chinese)

To solve the problems of poor stability, low resolution, and performance degradation under low signal-to-noise ratio (SNR) of the direction of arrival (DoA) estimation, a space-time division cluster (STDC) DoA estimation algorithm was proposed for under water acoustic (UWA) spread spectrum signal. The idea of the time-frequency two-dimensional search was used to combine the conventional beamforming with the spread spectrum sequence, set the angle interval to search the incidence angle and the arrival delay of the spread-spectrum signal, and increased the spatial spectrum to the delay angle spectrum, which kept the high resolution. STDC-DoA estimation can be anti-interference and stable operation under low SNR by using the characteristics of spread spectrum sequence. Finally, through simulation and pool experiment, it was proved that compared with the traditional DoA estimation algorithm, the proposed algorithm has better performance in anti-interference, resolution, and anti-noise. Meanwhile, the proposed algorithm does not need signal source number estimation and angle prediction and has more robust performance. [ABSTRACT FROM AUTHOR]

为了解决波达方向估计稳定性差、分辨率低、低信噪比下性能下降严重等问题，针对水声扩频信号提出 了一种空时分簇波达方向估计算法。该算法利用时频二维搜索的思想，将常规波束成形和扩频序列结合，设置角 度间隔搜索水声扩频信号的入射角度和到达时延，将空间谱上升至时延-角度谱，使其保持较高的分辨率。利用 扩频序列的特性，使空时分簇波达方向估计具有抗干扰和低信噪比下稳健工作的能力。仿真与水池实验结果证明， 与传统波达方向估计算法相比，所提算法在抗干扰性、分辨率、抗噪声方面具有更好的性能，同时不需要信源数 估计以及角度预估计，具有更加稳健的性能. [ABSTRACT FROM AUTHOR]

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