中文摘要：

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10dB，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。

英文摘要：

A blind space spectrum subtraction（BSSS） method based on hyper beam forming for interfer- ence cancellation is proposed for two typical near-field strong interference sources （towed-ship self noise and friendly neighbor ship noise） which affect the target detection performance of towed array sonar. The hyper beam technology is used to form multi-beams to cover a strong interference area. The amplitude spectrum of interfering beams is computed, and the multi-beam amplitude spectrum is subtracted from the basic element field amplitude spectrum by using an appropriate spectrum subtraction strategy. The fre- quency signal of basic element field is get from the cancelled amplitude spectrum signal, and the target azimuth is estimated using the frequency field block adaptive filtering algorithm. The simulation and sea test results show that BSSS method can improve the array gain by about 10 dB compared to the minimal variance distortionless response（MVDR） method under the conditions of high interference-to-noise ratio and low signal-to-noise ratio. BSSS method can be used simultaneously to cancel the towed-ship self noise and the friendly neighbor ship noise, and effectively reduce the fluctuation of detected background.