Abstract The active detection of underwater targets is an important area of research and has numerous applications. In this paper, a bistatic detection and positioning system using an Acoustic Vector Sensor (AVS) is proposed which employs an improved Matched Filter (MF). The target position is determined using time delay and azimuth estimation. Frequency domain autocorrelation is employed to remove noise and improve detection performance. A direct path signal spatial suppression technique is proposed to decrease the effects of the dominant interference. Numerical simulation and experimental data obtained on a reservoir are used to evaluate the performance of the proposed system and methods. The results obtained show that this system is effective in determining the position of an underwater target.

中文翻译：

---

基于声矢量传感器的水下双基地定位系统及实验研究

摘要 水下目标的主动检测是一个重要的研究领域，具有广泛的应用。在本文中，提出了一种使用声矢量传感器 (AVS) 的双基地检测和定位系统，该系统采用改进的匹配滤波器 (MF)。使用时间延迟和方位角估计确定目标位置。频域自相关用于去除噪声并提高检测性能。提出了一种直接路径信号空间抑制技术来减少主要干扰的影响。在油藏上获得的数值模拟和实验数据用于评估所提出的系统和方法的性能。获得的结果表明，该系统在确定水下目标的位置方面是有效的。