数据采集与处理2017，Vol.32Issue(6)：1089-1096,8.DOI:10.16337/j.1004-9037.2017.06.003
认知型宽带恒模阵列水声通信多用户信号分离与干扰抑制算法
Source Separation and Jamming Suppression for Underwater Acoustic Communication Systems with Cognitive Capability
摘要
Abstract
A type of wide-band space-time constant modulus array algorithm for multi-user signal acquisi-tion and interference suppression in underwater acoustic communication system is proposed to realize multi-user signal extraction and wide-band interference suppression .Compared with the conventional constant modulus array ,it has stronger ability of multi-path and interference suppression .As an impor-tant part of cognitive underwater communication system ,the time-frequency analysis and the instantane-ous autocorrelation modulation algorithm for feature extraction provide an effective technique to classify the multi-user signals and interferences obtained by the wide-band constant modulus array ,providing a solution to demodulation for different users and interference suppression .The performance of the cogni-tive processing structure is proved via numerical simulations .关键词
认知水声通信/恒模阵列/宽带自适应处理/空时处理/盲源分离Key words
cognitive underwater acoustic communication/constant modulus array/broad band adaptive processing/space time processing/blind source separation分类
信息技术与安全科学引用本文复制引用
王峰,刘蝶..认知型宽带恒模阵列水声通信多用户信号分离与干扰抑制算法[J].数据采集与处理,2017,32(6):1089-1096,8.基金项目
教育部重点实验室基金(201703)资助项目 （201703）
教育部重点实验室基金(3082016NJ20160006)资助项目. （3082016NJ20160006）
