Boat-generated acoustic target signal detection by use of an Adaptive Median CFAR and multi-frame integration algorithm
作者： Massimo Piccardi , Tony Jan , Eric Dahai Cheng
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摘要: In this paper, an Adaptive Median Constant False Alarm Rate (AMCFAR) and multi-frame post detection integration algorithm is proposed for effective real time automatic target of boat-generated acoustic signals, in which, observation space created by sampling dividing input analog signal into multiple frames each frame transformed the frequency domain. space, a (MCFAR) algorithms have been boat generated which low constant false alarm rate kept with relative high rate. The has tested on several signals from hydrophone sensors, statistical analysis experimental results showed it able to provide very relatively all cases.
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