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中文核心期刊

一种基于频率方差加权的线谱目标检测方法

A detecting method for line-spectrum target based on variance-of-frequency weight

  • 摘要: 在复杂的多目标声场中,常规波束形成(CBF)检测器性能显著下降。本文提出一种基于频率方差加权的线谱目标检测方法——CBF频率方差检测器,利用被动目标辐射噪声中含有高强度的稳定线谱这一特征,用每个方位频率域的峰值频率方差对CBF输出的方位谱进行加权。该检测器可在多目标强干扰和同波束强相干干扰背景中检测到弱线谱目标,且只须三维显示,避开了传统的线谱检测四维显示的难点。仿真和海试结果表明,在多目标、强干扰的环境下,可以探测到弱线谱目标。

     

    Abstract: CBF(Conventional Beam Forming) array processing is the optimal detecting system while only one target presented in omni-directional ambient noise.However,its performances degrade in complex condition of multi-target interferes.Base on the character that the radiated noise of passive target contains high intensive and stable line spectrum, the paper puts forward CBF Variance-of-Frequency Detector,which weighs bearing spectrum using the variance of peak frequency of each azimuth.It is able to suppress multi-target interferes effectively,and detect faint signal in the background of strong interferes.What’s more,CBF Variance-of-Frequency Detector only needs three-dimensional display,while other line-spectrum detectors require for four-dimensional.The simulation and trial results show that the CBF Variance-of-Frequency Detector is able to detect line-spectrum target in the background of multitudinous and strong interferes.

     

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