2011
DOI: 10.1007/s11432-011-4335-3
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Dual-turbo receiver architecture for turbo coded MIMO-OFDM systems

Abstract: This paper presents a novel architecture of iterative receivers with two layers of iterations for turbo coded multiple-input and multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems, where soft messages are passed not only between the MIMO detector and the turbo decoder, but also between the two component decoders within the turbo decoder. We first derive the factor graph representation of a turbo coded system as a basic building block for developing the iterative receivers. Then, a n… Show more

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Cited by 5 publications
(2 citation statements)
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“…In MIMO channel, the theoretical capacity limits are obtained using the capacity-approaching code with turbo decoding in the receiver [10]. In receiver antenna, the transmitted data streams are separated from the received signals using the MIMO decoder at receiver components [11].…”
Section: Introductionmentioning
confidence: 99%
“…In MIMO channel, the theoretical capacity limits are obtained using the capacity-approaching code with turbo decoding in the receiver [10]. In receiver antenna, the transmitted data streams are separated from the received signals using the MIMO decoder at receiver components [11].…”
Section: Introductionmentioning
confidence: 99%
“…However, the computational complexity of the ML receiver, which increases exponentially with some parameters, such as the MIMO systems size, channels coding block size, limits its use for practice [6]. Iterative (Turbo) processing technique provides a convincing solution to approach the performance of the ML receiver in a computationally efficient manner [7]. The near-optimal performance of turbo receivers is achieved by exchanging soft extrinsic information between a soft-input soft-output (SISO) detector and an SISO decoder in an iterative fashion [8].…”
Section: Introductionmentioning
confidence: 99%