摘要
针对影响拖曳线列阵声纳系统目标检测性能的两种典型近场强干扰源,由宽带近场阵列模型,提出了基于功率谱相关的干扰抵消方法,通过比较基元域频域信号与干扰波束信号功率谱之间的相似关系,找到与每路基元信号相匹配的干扰分量信号,最后通过频域块自适应滤波算法实现每路基元域信号中的干扰抵消。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。相比传统基元域干扰抵消方法,这种方法能够实现抵消拖船干扰的同时抵消邻近目标强干扰。
Aiming to the two typical near-field strong interferences which affect the target detection performance of the towed array sonar, it proposed a method which utilizes power spectrum correlation technique based on broadband near-field array model. By comparing the similar relation between the array-domain signal＇ s power spectrum and the interference beam＇ s power spectrum, it will find the most matching interference components for every channel of the array-domain data. The proposed algorithm uses the frequency-domain block adaptive filter algorithm to cancel the interference components in each channel of the array-domain data. Broad-band simulation results and real sea trial show that the proposed method＇ s array gain outperforms the minimum variance distortionless response （MVDR） and classical array-domain interference cancelling （EIC） methods about 10dB in the conditions of strong interference noise ratio and low signal noise ratio. Moreover, comparing with the classical array-domain interference cancelling （EIC） method, the proposed method could cancel the tow-ship interference, meanwhile cancel the close strong interference.
出处
《海洋测绘》
2012年第4期33-37,共5页
Hydrographic Surveying and Charting
基金
海军大连舰艇学院科研发展基金
关键词
被动声纳
拖曳线列阵
干扰抵消
功率谱相关
自适应滤波
passive sonar
towed array
interference cancelling
adaptive filter
power spectrum correlation
