Turbo joint channel estimation, synchronization, and decoding for coded OFDM systems

Li, Si; Le‐Ngoc, Tho; Kwon, Soon-Chan; Seo, Jong-Soo

doi:10.1016/j.aeue.2009.04.005

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…This advantage can be achieved in GFDM system if there is a perfect synchronization in time and frequency. There is a lot of literature for finding symbol time offset (STO) and carrier frequency offset (CFO) in literature either by using cyclic prefix (CP) or the pilot preamble for OFDM systems [14], [15], [16], [17] A similar extension to GFDM systems is presented in [18], [19], clearly indicating performance degradation when compared with traditional OFDM systems [20].…”

Section: Introductionmentioning

confidence: 99%

Implementation of filtered preamble GFDM system using USRP

Mangi¹,

Kavipriya

2022

Preprint

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Data rate performance of the modern multicarrier techniques like generalized frequency division multiplexing (GFDM) has been significantlly limited by vital impairments like symbol time offset (STO) and carrier frequency offset (CFO). Traditional data aided methods of synchronization avoid the effect of egress noise in pilot preamble and hence destroying the spectral advantage of GFDM system. To safeguard this advantage, preamble needs to be pulse shaped. The main contribution of this paper is the derivation of generalized maximum likelihood (ML) estimation of frequency and time offsets for receiver synchronization in GFDM systems, using the modified preamble by the application of matrix inversion lemma. The dependency of the choice of the filter on Cramer-Rao lower bound (CRLB) of frequency offset estimation is also emphasized. The performance of the system is analysed over additive white Gaussian noise (AWGN) and multipath channel environments. The authors carried out real time implementation of GFDM system using IEEE 802.11 short preamble in indoor environments by employing national instruments (NI) universal software radio peripheral (USRP) 2953R boards as hardware platform which is interfaced with LABVIEW for practical validations of the results.

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Section: Introductionmentioning

confidence: 99%

Implementation of filtered preamble GFDM system using USRP

Mangi¹,

Kavipriya

2022

Preprint

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“…Forward error coder (FEC)and Viterbi encoding/decoding based [3,4,5] have already been developed. Recently in order to achieve high throughput of OFDM system using Turbo coding scheme [6][7][8][9][10][11] has been used. However, for turbo coding SOVA and Map [14] decoding algorithm have been developed.…”

Section: Introductionmentioning

confidence: 99%

“…But, Map algorithm improved decoding speed, BER (Bit Error Rate) and system complexity. VHDL implementation of SOVA based and Log-Map based turbo coder have already been reported in [6][7][8][9] FFT processors are the key of OFDM physical layer system. Different architecture of FFT processor has been reported for efficient OFDM.…”

Section: Introductionmentioning

confidence: 99%

VHDL Implementation of low power turbo coded OFDM physical layer for wireless communication

Shrimali¹,

Sharma²,

Meena³

2018

IJET

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Orthogonal Frequency Division Multiplexing (OFDM) is exceptionally favored system for rapid information transmission over remote channel. In this paper, VHDL implementation of low power turbo-coded OFDM (TCOFDM) Physical layer architecture is presented. In this architecture a low power memory-less pipelined FFT processor and Log-map turbo encoder/decoders are used to provide high throughput and lower complexity. Log-map turbo decoder provides high speed with good error correction capacity, while FFT/IFFT processor with single delay feedback (SDF) memory less architecture provide improved area and power efficiency. Proposed TCOFDM system is implemented using Xilinx ISE Design suite in the simulation results shows that the proposed scheme is having low power, high speed, high throughput and smaller area in comparison to other schemes.

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