Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation

التفاصيل البيبلوغرافية
العنوان: Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation
المؤلفون: Yang, Jianxiao, Geller, Benoit, Wei, A
المصدر: Acoustics, Speech and Signal Processing, Apr 2009, Taipei, Taiwan. 2009
سنة النشر: 2015
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Information Theory, Computer Science - Systems and Control
الوصف: -In this paper, we study Bayesian and hybrid Cramer-Rao bounds for the dynamical phase estimation of QAM modulated signals. We present the analytical expressions for the various CRBs. This avoids the calculation of any matrix inversion and thus greatly reduces the computation complexity. Through simulations, we also illustrate the behaviors of the BCRB and of the HCRB with the signal-to-noise ratio. Index Terms-Bayesian Cramer-Rao Bound (BCRB), Hybrid Cramer-Rao Bound (HCRB), Synchronization Performance
نوع الوثيقة: Working Paper
DOI: 10.1109/ICASSP.2009.4960329
URL الوصول: http://arxiv.org/abs/1511.09113
رقم الانضمام: edsarx.1511.09113
قاعدة البيانات: arXiv
الوصف
DOI:10.1109/ICASSP.2009.4960329