2014 IEEE Global Communications Conference 2014
DOI: 10.1109/glocom.2014.7037064
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Closed-form CRLBs for SNR estimation from turbo-coded square-QAM-modulated signals

Abstract: In this contribution, we derive for the first time the closedform expressions for the Cramér-Rao lower bounds (CRLBs) of the signal-to-noise ratio (SNR) estimates from turbo-coded square-QAM transmissions. By exploiting the structure of the Gray mapping, we are able to factorize the likelihood function thereby linearizing all the derivation steps for the FIM elements. The analytical CRLBs coincide exactly with their empirical counterparts validating thereby our new analytical expressions. Numerical results sug… Show more

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Cited by 2 publications
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