基于引导声源的被动测距由于其对环境参数较少的要求受到了广泛关注。而处于浅海复杂环境下的被动声呐中,目标信号的声场干涉结构可能被邻近方位上的强干扰的旁瓣掩盖或改变,影响最终的测距精度。首先利用基于特征分解的自适应干扰抑制方法对强干扰环境中的接收信号进行干扰抑制,获得更高信噪比和信干比的目标信号;然后采用自适应的最小方差无失真波束形成器方法进行水平阵波束形成,得到更精确的目标声源声场干涉结构;其次基于干涉条纹的波导不变量特点,利用引导声源与目标声源干涉条纹的关系进行目标声源被动测距。实验结果验证了该方法的有效性和应用的可行性。
It is generaUy difficult to localize a weak source for a passive system in the presence of strong interferences. Passive source ranging using a guide source based on the intensity striation is widely concerned due to its little requirement of environmental information. Beam intensity striation has higher processing gain based on a horizontal ar- ray, but it still could be confused by the sidelobes of the stronger interferences. In this case, an eigenanalysis-based adaptive interference suppression (EAAIS) method is used to improve the signal-to-noise ratio (SNR) and sig- nal-to-interference ratio (SIR) of the target signal. Then the preprocessed target signal is used to obtain the more accu- rate and dearer beam intensity striations for passive target source ranging based on a guide source. The experimental results demonstrate the effectiveness and feasibility of the proposed range estimation method.