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Adaptive processing technique for enhanced CFAR detectingperformance in active sonar systems

机译:主动声纳系统中增强CFAR检测性能的自适应处理技术

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摘要

Active sonar systems are faced with the difficult task of detecting moving targets in strong reverberation environments. Since the effective whitening of the reverberation cannot be accomplished with a fixed notch filter, a filter structure to recover target signals obscured by the reverberation is proposed. The proposed scheme consists of an adaptive filter and a fixed filter. The optimum and suboptimum solutions are also considered. Numerical experiments for a shallow-water active sonar system are performed to examine the potential of the proposed structure for target signal enhancement problems
机译:有源声纳系统面临着在强混响环境中检测运动目标的艰巨任务。由于利用固定陷波滤波器不能实现有效的混响白化,因此提出了一种滤波器结构来恢复被混响遮盖的目标信号。所提出的方案包括自适应滤波器和固定滤波器。还考虑了最佳和次最佳解决方案。进行了浅水有源声纳系统的数值实验,以检验所提出结构对目标信号增强问题的潜力。

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