%0 Journal Article
%T A New Approach to Reduce PAR by Using S-HNN for OFDM System<br>一种基于随机软反馈Hopfield神经网络的降低OFDM系统峰均比新方案
%A Wang Hai-ming
%A Hu Wu-jie
%A Feng Ming-hai
%A <br>汪海明
%A 胡武捷
%A 冯明海
%J 电子与信息学报
%D 2007
%I 
%X This paper proposes a new approach to reduce the Peak-to-Average power Ratio(PAR) value of multi-carrier/OFDM with a new kind of adaptive soft feedback Stochastic Hopfield Neural Network (S-HNN). By adopting new neural output function and random state disturbance, the system performance is improved greatly. Furthermore, it can be implemented easily compared to the traditional HNN method. By parameter adjustment, the lowest PAR can be found. So it is an effective and practical algorithm for OFDM system.
%K OFDM
%K Peak-to-Average power Ratio (PAR)
%K Stochastic HNN with soft feedback
%K Optimized searching<br>OFDM
%K 峰均功率比
%K 随机软反馈HNN
%K 最优搜索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=A1666456506947E2&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=E158A972A605785F&sid=997CCAFE43D4D200&eid=32491EEEE0A8C927&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11