Bayesian Cramer-Rao bounds for complex gain parameters estimation of slowly varying Rayleigh channel in OFDM systems
نویسندگان
چکیده
This paper deals with on-line Bayesian Cramer-Rao (BCRB) lower bound for complex gains dynamic estimation of time-varying multi-path Rayleigh channels. We propose three novel lower bounds for 4QAM OFDM systems in case of negligible channel variation within one symbol, and assuming both channel delay and Doppler frequency related information. We derive the true BCRB for data-aided (DA) context and, two closed-form expressions for non-data aided (NDA) context. Index Terms Bayesian Cramer-Rao Bound, OFDM, Rayleigh complex gains.
منابع مشابه
[hal-00325326, v1] On-line Bayesian Cramer-Rao Bounds for OFDM Slowly Varying Rayleigh Multi-path Channel Estimation
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.
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عنوان ژورنال:
- Signal Processing
دوره 89 شماره
صفحات -
تاریخ انتشار 2009