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《Journal of Data Acquisition and Processing》 2011-01
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Novel Blind Source Extraction Algorithm to Low Altitude Acoustic Signals Based on Skewness

Zhang Qiong1,2,Yang Junan1,2,Xia Jianming1,2(1.Department of Information,Electronic Engineering Institute,Hefei,230037,China;2.Key Laboratory of Electronic Restriction,Anhui Province,Hefei,230037,China)  
For the uncertainty of the signal sequence of blind source separation and the large computation of the kurtosis-based blind source extraction algorithm,a blind signal extraction algorithm for low altitude acoustic based on skewness is proposed.An algorithm uses the asymmetric of skewness to evaluate the non-Gaussianity of a signal.The signal can be extracted by the absolute value of the skewness in descending order.Compared with the kurtosis-based blind extraction algorithm,the algorithm reduces the computational complexity,has better separation efficiency and is robust for the noise.Computer simulation and experiments on the acoustic signal and low altitude battlefield acoustic signal confirm the effectiveness of the algorithm.
【Fund】: 国家自然科学基金(60872113)资助项目
【CateGory Index】: TN912.3
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