| 戴文舒,陈新华,孙长瑜.被动线谱检测的子带分解和分方位区间融合算法[J].,2015,34(3):227-235 |
| 被动线谱检测的子带分解和分方位区间融合算法 |
| A fusion algorithm for passive detection of the line spectrum target based on the sub frequency and sub interval statistics |
| 投稿时间：2014-06-04 修订日期：2015-02-06 |
| 中文摘要: |
| 目标辐射噪声低频线谱丰富，线谱相对谱级高，且较稳定，可直接应用于目标检测。基于子带分解处理的现有融合方法适用于信噪比相对较高情况，而对于相干干扰噪声或强宽带噪声，线谱目标的有效检测仍没很好解决。本文从子带空间谱统计特性出发，利用线谱谱级高出连续谱 10～25 dB，线谱频带所在方位区间的输出方位波动小，而其它分区间的输出方位波动大的特点，提出了一种在信噪比低，多目标并存情况下更有效的线谱提取融合方法。理论仿真和海试实验数据处理结果验证该算法较常规方法稳定，对于高谱级线谱，算法适用范围广、检测效果好，直观、简便，为实际工程应用提供了一种新方法。 |
| 英文摘要: |
| As we all know, the target underwater radiates abundant low frequency line elements with not onlyhigh spectrum level but also intensive stability. The existing methods based on sub frequency band processing are appropriate for the situation where the signal to noise (SNR) ratio is high enough. While the coherent
or wide band interferences exist, effective detection of the target of line-spectrum is not yet having a goodsolution. This article studies the characteristics of spatial spectrum after frequency domain beam forming and makes full use of characteristic that a line spectrum is 10～25 dB higher than that of the continuous spectrum level. Since the output azimuth of the subinterval where the target lies has a smaller fluctuation than the other subintervals, we propose an effective fusion algorithm which applies in a situation with lower SNR as well as the coexistence of multi-objective. The innovation and the effectiveness have been demonstrated by the simulation and the sea trial data processing results and this method can be more wildly used than the conventional azimuth stability algorithm. It’s very much suitable for engineering applications. |
| DOI：10.11684/j.issn.1000-310X.2015.03.007 |
| 中文关键词: 低频线谱检测，信息融合，子带分解，分方位信号处理 |
| 英文关键词: Low frequency line spectrum detection, Information fusion, Sub frequency, Sub interval signal |
| 基金项目:国家自然科学基金面上项目资助 (61372180) |
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