A Shape Estimation Algorithm of Deformed Towed Array in Passive Sonar
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摘要: 拖曳线列阵声呐是远距离探测水下目标的主要装备, 其战术机动会引起拖曳线列阵的阵形畸变, 从而降低拖曳线列阵声呐的空间处理增益, 增大声呐对目标方位估计的误差。基于此, 文中提出了拖曳线列阵的阵形空间畸变的估计方法, 利用三维曲线空间投影原理, 给出了拖曳线列阵阵形空间畸变的抛物线模型和指数畸变模型的描述方法。结合拖曳线列阵中航向传感器和纵摇传感器的信息, 提出了一种强鲁棒性的三维阵形估计算法, 并分析了航向传感器中航向角精度和模型失配2个因素对拖曳线列阵阵形估计性能的影响。仿真结果表明: 文中的算法可以估计拖曳线列阵三维阵形畸变, 突破了阵形平面畸变和微小畸变的限制。Abstract: Towed array sonar is the main equipment to detect remote underwater targets. Its tactical maneuver may induce the shape deformation of the towed array, thus reducing the spatial processing gain and increasing the target azimuth estimation error with the towed array sonar. Therefore, a shape deformation estimation method for towed array sonar has been proposed based on parabolic model and exponential model. The shape deformation of the towed array are described by using space projection of three-dimensional curve. Exploiting the information of heading sensor and pitching sensor in the towed array, a three-dimensional array shape estimation algorithm with strong robustness is proposed. The factors of heading precision and model mismatch for the estimation performance of towed array shape parameters are analyzed. It is concluded that three-dimensional towed array shape deformation can be estimated with the presented algorithm, which breaks through the limitation of plane and micro shape deformation in the towed array.
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Key words:
- underwater target detection /
- towed array /
- heading sensor
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