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Chaima Elguet - IEEE Xplore Author Profile

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In this paper, we address the problem of direction of arrival (DOA) estimation from turbo-coded square-QAM-modulated transmissions. We devise a new code-aware direction finding concept, derived from maximum likelihood (ML) theory, wherein the soft information provided by the soft-input soft-output decoder, in the form of log-likelihood ratios, is exploited to assist the estimation process. At each...Show More
We investigate the problem of direction of arrival (DOA) estimation from turbo-coded square-QAM- modulated signals. We propose a new code-aided (CA) maximum likelihood (ML) direction finding technique that exploits the soft information obtained from the soft-input soft-output (SISO) decoder in the form of log-likelihood ratios (LLRs). Unlike standard estimation techniques, the proposed method impr...Show More
This paper tackles the problem of the direction of arrival (DOA) estimation in turbo-coded systems. We derive for the first time the closed-form expressions for the Cramér-Rao lower bounds (CRLBs) of the code-aided (CA) DOA estimates from arbitrary square-QAM modulated signals. We succeed in factorizing the likelihood function of the system into two analogous terms linearizing thereby all the deri...Show More