Study on the bioradar echo signal recognition
To fully utilize the character of the biorodar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysts are presented in this paper. These methods are employed to deal with no one, single people and multi-people echo signal Singular value decomposition (SVD) is used to extract feature vector for pattern identification. Single people and multipeople can be Identified from the echo signal by the bioradar. Experimental results show that spectral estimation methods can Improve the signal-noise ratio, and efficiently detect the signals frequency components. The method SVD based on Spectrum is stable and efficient to identify target information by bioradar.
biorodar autocorrelation analysis spectral estimation spectrogram SVD
WEI Chongyu ZHU Weijuan
Qingdao University of Science and Technology:College of Information Science and Technology
国际会议
2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)
青岛
英文
653-656
2009-11-21(万方平台首次上网日期,不代表论文的发表时间)