计算机应用研究2016，Vol.33Issue(12)：3809-3811,3827,4.DOI:10.3969/j.issn.1001-3695.2016.12.064
基于SCM的自适应抽头伪随机相位生成算法
Self adaptive tapped pseudo random phase generation algorithm based on standard chaotic map
摘要
Abstract
To maximize the phase randomness of fundamental modulation waveform (FMW)and therefore improve the radio frequency (RF)stealth performance of transform domain communication system (TDCS),this paper proposed a self adaptive tapped pseudo random phase generation algorithm based on standard chaotic map.In the algorithm,chaotic sequences were generated through standard chaotic map,and then pseudo random binary sequences were produced through median method. Combined with the adaptive“hopping map”,the pseudo random phases could be obtained in the linear shift register.Further-more,the analytic expression of low probability of interception/low probability of detection (LPI/LPD)was derived,on the basis of which the control parameters were optimized to maximize the phase randomness.Finally,theoretical analysis and si-mulation results show that with this algorithm adopted,the detection probability of FMW is 1/μ×(2n -1 )that of existed method using m sequences,where the probability of detection is effectively reduced.Therefore,the probability of interception is reduced and the difficulty of acquisition is increased.关键词
变换域通信系统/基本调制波形/低概率截获/低概率检测/标准混沌映射Key words
transform domain communication system(TDCS)/FMW/LPI/LPD/standard chaotic map(SCM)分类
信息技术与安全科学引用本文复制引用
刘立,张衡阳,毛玉泉,孙乐..基于SCM的自适应抽头伪随机相位生成算法[J].计算机应用研究,2016,33(12):3809-3811,3827,4.基金项目
国家自然科学基金资助项目（61202490）；航空科学基金资助项目 （）
