Deinterleaving of Mixtures of Renewal Processes

作     者：Young, Jeremy Host-Madsen, Anders Nosal, Eva-Marie 

作者机构：Univ Hawaii Manoa Dept Elect Engn Honolulu HI 96822 USA Shenzhen Res Inst Big Data Shenzhen Peoples R China Univ Hawaii Manoa Dept Ocean & Resources Engn Honolulu HI 96822 USA 

出 版 物：《IEEE TRANSACTIONS ON SIGNAL PROCESSING》 (IEEE信号处理汇刊)

年 卷 期：2019年第67卷第4期

页      面：885-898页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：NSF ONR [N000141612598] Shenzhen Peacock Plan [KQTD2015033114415450] U.S. Department of Defense (DOD) [N000141612598] Funding Source: U.S. Department of Defense (DOD) Direct For Computer & Info Scie & Enginr Funding Source: National Science Foundation Division of Computing and Communication Foundations Funding Source: National Science Foundation 

主　　题：Deinterleaving click trains jitttered PRI radar source separation renewal process marine mammals impulsive sources multi-input single-output 

摘      要：This paper proposes a new method for impulsive source separation (deinterleaving) in multi-input single-output systems based purely on impulse spacing. The impulse spacing for each source is modeled as a renewal process. To classify sources, an algorithm is developed to maximize the likelihood of impulse assignment based on the impulse spacing distributions. A theoretical lower bound on performance is derived and the algorithm is shown to get reasonably close to the bound. The algorithm is extended for use when the impulse spacing distribution parameters are unknown. Performance is evaluated on multiple application examples.