Iterative channel estimation and decoding in turbo coded space‐time systems

Ronen, S.; Bross, Shraga I.; Shamai, Shlomo; Duman, Tolga M.

doi:10.1002/ett.1159

Cited by 8 publications

(2 citation statements)

References 46 publications

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“…The initial channel estimation may be performed in one of several ways: employing the ST scheme, designating a few pilots according to [36] at the beginning of each block transmitted in the TDM scheme, or using the expectation maximization (EM) algorithm with iterative decoding strategies [38].…”

Section: Iterative Joint Mrst-patmentioning

confidence: 99%

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Iterative MIMO Detection and Channel Estimation Using Joint Superimposed and Pilot-Aided Training

Longoria-Gándara

Parra-Michel

Carrasco-Alvarez

et al. 2016

Mobile Information Systems

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This paper presents a novel iterative detection and channel estimation scheme that combines the effort of superimposed training (ST) and pilot-aided training (PAT) for multiple-input multiple-output (MIMO) flat fading channels. The proposed method, hereafter known as joint mean removal ST and PAT (MRST-PAT), implements an iterative detection and channel estimation that achieves the performance of data-dependent ST (DDST) algorithm, with the difference that the data arithmetic cyclic mean is estimated and removed from data at the receiver’s end. It is demonstrated that this iterative and cooperative detection and channel estimator algorithm surpasses the effects of data detection identifiability condition that DDST has shown when higher orders of modulation are used. Theoretical performance of the MRST-PAT scheme is provided and corroborated by numerical simulations. In addition, the performance comparison between the proposed method and different MIMO channel estimation techniques is analyzed. The joint effort between ST and PAT shows that MRST-PAT is a solid candidate in communications systems for multiamplitude constellations in Rayleigh fading channels, while achieving high-throughput data rates with manageable complexity and bit-error rate (BER) as a figure of merit.

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Section: Iterative Joint Mrst-patmentioning

confidence: 99%

“…. (38) The matrix's rows and columns indicate the transmit antenna and the time slot (channel use), respectively. 2 × pilot matrix P is given by…”

Section: Mrst-pat For Alamouti Space-time Codingmentioning

confidence: 99%