基于超波束幅度权的盲空间谱减干扰抵消方法

发布时间：2018-05-12 00:22

本文选题：声学 + 拖曳线列阵　；参考：《兵工学报》2014年03期

【摘要】：针对影响拖曳线列阵声纳系统目标检测性能的拖船自噪声与友邻舰艇辐射噪声这两种典型近场强干扰源,提出基于超波束幅度权的盲空间谱减干扰抵消方法。利用超波束技术形成强干扰方位区域的多波束,获取干扰波束的幅度谱。通过合适的谱减策略,将基元域的幅度谱减去干扰波束的幅度谱,得到干扰抵消后的基元域信号幅度谱,继而转换为基元域的频域信号。通过频域块自适应滤波算法完成目标方位估计。宽带仿真结果与海试表明,这种方法在强干噪比和低信噪比条件下比最小方差无失真响应和传统基元域干扰抵消方法在阵增益方面提高约10 dB,能够同时抵消拖船干扰和邻近目标强干扰,且有效降低了检测背景的起伏。
[Abstract]:Aiming at the two typical near field intensity interference sources of towing ship self-noise and neighbor ship radiated noise which affect the target detection performance of towed linear array sonar system a blind spatial spectral subtraction interference cancellation method based on super-beam amplitude weight is proposed. The amplitude spectrum of the interference beam is obtained by using the superbeam technique to form multiple beams in the strong interference azimuth region. Through the appropriate spectral subtraction strategy, the amplitude spectrum of the interference beam is subtracted from the amplitude spectrum of the element domain, and the amplitude spectrum of the element domain signal after interference cancellation is obtained, and then converted to the frequency domain signal in the element domain. The target azimuth estimation is accomplished by frequency domain block adaptive filtering algorithm. Wideband simulation results and sea tests show that, The proposed method improves the array gain by about 10 dB under the condition of strong dry noise ratio and low signal-to-noise ratio compared with the minimum variance distortion response and the traditional primitive domain interference cancellation method, which can simultaneously counteract the towing interference and the strong interference from the adjacent target. And effectively reduces the fluctuation of the detection background.
【作者单位】：海军大连舰艇学院航海系;
【基金】：国家自然科学基金项目(41374018)
【分类号】：TN911.7

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