拖曳线列阵机动时的一种目标检测算法研究

A target detection algorithm research during towed line array maneuvering

根据水动力学流体运动特性,对Burgess建立的水中运动拖缆模型进行了修正,并基于有限差分法和牛顿迭代法提出修正模型的实时求解方法。同时,在阵形求解理论和自适应宽带聚焦波束形成理论的基础上,提出一种畸变阵的目标检测算法。将实时计算所获得的阵元位置信息作为变量引入自适应宽带聚焦波束形成算法中进行目标检测。并进行了海试。试验中在常规算法失效的情况下该算法准确的检测到目标。数据处理结果表明,该算法在阵形大幅度畸变时的输出信噪比比常规算法高15 dB。解决了拖线阵在机动(转向)过程因阵形畸变而无法检测目标的问题,充分验证了该算法的有效性。

The towed cable movement model established by Burgess is modified according to the hydrodynamic char- acteristics. Moreover, a real-time model-related parameters estimation method is proposed grounded upon the finite difference and Newton iteration method. At the same time, an applicable target detection algorithm to deformed flexible array is put forward based on the array shape estimation and adaptive broadband focused beam-forming theory. The real-time hydrophone location information is introduced into the adaptive broadband focused beam-forming algorithm in order to detect target. The sea trial was carried out. The proposed method was accurately detected the target in the case of the conventional method invalid during the sea trial. The data analysis shows that, compared with the conventional processing technique, the output signal to noise ratio （SNR） of proposed method improves by 15 dB. The problem that performance deterioration leads to no valid detection during the maneuvering or steering operations is resolved, which verifies the proposed method＇s effectiveness.