%0 Journal Article
%T Weak Signal Detection Based on Stochastic Resonance<br>基于随机共振的微弱信号检测
%A Liang Jun-li
%A Yang Shu-yuan
%A Tang Zhi-feng
%A <br>梁军利
%A 杨树元
%A 唐志峰
%J 电子与信息学报
%D 2006
%I 
%X In a heavy noise,the method based on Wigner Ville (WV) and Hough transformations has the poor performance of detecting the weak signal. To improve it, this paper analyzes the influence of the Fitz Hugh Nagumo(FHN) model's parameters on its filtering characteristics, and presents a method of detecting weak sinusoid and LFM signals based on FHN model of stochastic resonance. Firstly ,the received signal is filtered by FHN model ,and transformed by WV and Hough in turns, thus whether a signal is present in noise is determined according to whether there is a line in time-frequency picture. Finally, the validity of this method is well verified by the experiments.
%K Weak signal detection
%K Stochastic resonance
%K Wigner Ville transform
%K Hough transform<br>微弱信号检测
%K 随机共振
%K WV变换
%K Hough
%K 变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=D9381CAC3E7EF9C0&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=305A58D956DD6BAF&eid=AF41770817DB8958&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=13