On-line Bayesian Cramer-Rao Bounds for OFDM Slowly Varying Rayleigh Multi-path Channel Estimation
International audience The on-line Bayesian Cramer-Rao (BCRB) lower bound for the dynamic estimation of a time-varying multi-path Rayleigh channel in 4-QAM OFDM system is considered. In case of negligible channel variation within one symbol and delay related information, true BCRB for data-aided (DA...
Main Authors: | , |
---|---|
Other Authors: | , , , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2008
|
Subjects: | |
Online Access: | https://hal.science/hal-00325326 https://hal.science/hal-00325326/document https://hal.science/hal-00325326/file/ISWCS_2008_1.pdf |
Summary: | International audience The on-line Bayesian Cramer-Rao (BCRB) lower bound for the dynamic estimation of a time-varying multi-path Rayleigh channel in 4-QAM OFDM system is considered. In case of negligible channel variation within one symbol and delay related information, true BCRB for data-aided (DA) context, and two closed-form expressions for non-data aided (NDA) context are derived. |
---|