基于三元阵声纳的强干扰抑制技术研究
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摘要
为了提高三元阵被动声纳在水下强干扰下对弱目标的检测性能,文章提出了一种基于三元阵的水下强干扰子空间剔除的抑制算法。算法对强干扰和弱目标分别采用了两种不同的快照数进行处理,用较短的时间估计运动强干扰的干扰空间,采用正交投影的办法从原始信号中去除强干扰;对得到的信号作时间累积,通过自适应波束形成算法或常规波束形成算法实现对弱目标地检测。根据海试数据的处理结果表明,文中建立的算法可以有效地将运动强干扰从接收到的原始信号中剔除,实现了干扰抑制作用,提高了运动强干扰下三元阵声纳对弱目标的检测性能。
In order to improve the performance of the three-element passive sonar for weak target detection under strong underwater noise sources,a suppression algorithm based on three-element array is proposed to eliminate the strong noise source subspace. The algorithm uses two different snapshots to deal with the strong noise source and the weak target respectively. The interference space of the strong noise source is estimated in a short time. The strong noise source is removed from the original signal by orthogonal projection. The resulting signal is integrated for a long time and detected by an adaptive beamforming algorithm or a conventional beamforming algorithm. According to the results of the sea experimental data,it is shown that the proposed algorithm can effectively remove the strong noise source from the received original signal,and achieve the interference suppression effect,The algorithm improves the detection performance of the weak target with three-element sonar under the strong noise source.
In order to improve the performance of the three-element passive sonar for weak target detection under strong underwater noise sources,a suppression algorithm based on three-element array is proposed to eliminate the strong noise source subspace. The algorithm uses two different snapshots to deal with the strong noise source and the weak target respectively. The interference space of the strong noise source is estimated in a short time. The strong noise source is removed from the original signal by orthogonal projection. The resulting signal is integrated for a long time and detected by an adaptive beamforming algorithm or a conventional beamforming algorithm. According to the results of the sea experimental data,it is shown that the proposed algorithm can effectively remove the strong noise source from the received original signal,and achieve the interference suppression effect,The algorithm improves the detection performance of the weak target with three-element sonar under the strong noise source.
引文
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[2]梅继丹,惠俊英,王逸林,余赟,周伟.Bartlett波束形成的波束零限权设计[J].2008,29(12):1316-1318.
[3]吕曜辉.互谱法被动测距研究[D].哈尔滨:哈尔滨工程大学工学硕士学位论文,2006.
[4]鄢社锋,马远良.传感器阵列波束优化设计及应用[M].北京:科学出版社,2009:1-153.
[5]李启虎.声纳信号处理引论(第二版)[M].北京:海洋出版社,2000,334-340.
[6]Y.Wang,J.Li,P.Stoica.”Rank-deficient robust Capon filter bank approach to complex spectral estimation”.IEEE Trans.Signal Processing,2005,53(8),2713-2726.
[7]G..Clifford Carter.Time delay estimation for passive sonar signal processing.IEEE Trans.on Acoustics,Speech,and Signal Processing.1981,ASSP-29(3):463-469.
[8]C.H.Knapp,G.C.Carter.The generalized correlation method for estimation of time delay.IEEE.Trans.Acoust.Speech Signal Process.Vol.Assp-24.1976(8):320-327.
[9]Z.-S.Wang,J.Li,R.-B.Wu.”Time-delay-and timereversal-based robust capon beamformers for ultrasound imaging”.IEEE Trans.Medical Imaging,2005,24(10):1308-1322.