Enhanced Channel-Estimation Technique for MIMO-OFDM Systems

Shin, Myoung-Ho; Lee, Hak‐Ju; Lee, Chungyong

doi:10.1109/tvt.2003.822002

Cited by 56 publications

(27 citation statements)

References 7 publications

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“…C] to {AoD m , AS t } and {AoA m , AS r } to represent typical small environments. We also evaluated different channel estimation techniques for the ideally assumed channel model that is spatially uncorrelated and sample spaced [4], [9], [10]. This channel is set to have the exponential power delay profile with the channel length N h being 12.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This array-domain channel is treated as spatially uncorrelated in most previous pilot-aided channel estimation techniques for MIMO-OFDM systems (e.g., [4], [9], and [10]), possibly due to the fact that early MIMO studies assume the array-domain channel to be spatially uncorrelated (e.g., [11] and [12]). We call these techniques LS-based techniques in the array domain.…”

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confidence: 99%

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Pilot-Aided Angle-Domain Channel Estimation Techniques for MIMO-OFDM Systems

Huang¹,

Bergmans

et al. 2008

IEEE Trans. Veh. Technol.

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Abstract-Early multiple-input multiple-output with orthogonal frequency division multiplexing (MIMO-OFDM) channel estimation techniques treat channels as spatially uncorrelated. However, in many situations, MIMO-OFDM channels tend to be spatially correlated, for example, due to limited scattering. For such channels, estimation performance can be improved through exploitation of prior knowledge of the channel spatial correlation, for example, by means of the linear multiple mean square error (MMSE)

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Section: Simulation Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

Pilot-Aided Angle-Domain Channel Estimation Techniques for MIMO-OFDM Systems

Huang¹,

Bergmans

et al. 2008

IEEE Trans. Veh. Technol.

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“…In [3,23,31], authors proposed the channel estimation algorithm. Extrapolate edge carriers as explained in [19,30] are the complex issues which may rise in estimation. To overcome this problem, the proposed frame structure is defined with pilots at both edge sub-carriers.…”

Section: Time Domain Synchronizationmentioning

confidence: 99%

Hardware Implementation of MISO on Orthogonal Frequency Division Multiplexing Platform with the Help of Alamouti Algorithm

Kilaru¹

2017

International Journal of Electronics and Telecommunications

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Abstract-Many software based OFDM techniques were proposed from last half decade to improve the performance of the system. This paper tried to implement the same with Hardware implementation. We created Hardware based MISO platform with OFDM. We implemented Alamouti algorithm on this test bed. The test bed is implemented with the help of Field Programmable Gate Array (FPGA). The test bed is functionalized with the help of FPGA through Xilinx based system generator for DSP. In this paper we considered the 2×1 MISO implementation with Alamouti algorithm. The simulation results showed that BER and SNR are considerably high for MISO than SISO. The results also proved that proposed OFDM based Alamouti implementation for MISO is excellent in all performance criterions.

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“…In recent years, this topic has attracted substantial research efforts, addressing numerous aspects, such as system capacity [132], [133], space/time/frequency coding [134]- [138], peak-to-average power ratio (PAPR) control [139]- [141], channel estimation [142]- [144], receiver design [145]- [148], etc. Recently, Paulraj et al [128] and Stüber et al [149] provided compelling overviews of MIMO OFDM communications.…”

Section: A Orthogonal Frequency Division Multiplexingmentioning

confidence: 99%