Efficient FPGA-Based Implementations of MIMO-OFDM Physical Layer

Park, Jeoong Sung; Ogunfunmi, Tokunbo

doi:10.1007/s00034-012-9411-4

Cited by 21 publications

(13 citation statements)

References 17 publications

(45 reference statements)

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“…Schmidt and Cox (S&C) in [16,17] propose a new synchronization algorithm, which is based on a particular training sequence. It is composed of two identical halves of length /2 which is transmitted at the beginning of each frame.…”

Section: Synchronization Modulesmentioning

confidence: 99%

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Design and Study of Cognitive Network Physical Layer Simulation Platform

An¹,

Wang

Xiao

2014

Abstract and Applied Analysis

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Cognitive radio technology has received wide attention for its ability to sense and use idle frequency. IEEE 802.22 WRAN, the first to follow the standard in cognitive radio technology, is featured by spectrum sensing and wireless data transmission. As far as wireless transmission is concerned, the availability and implementation of a mature and robust physical layer algorithm are essential to high performance. For the physical layer of WRAN using OFDMA technology, this paper proposes a synchronization algorithm and at the same time provides a public platform for the improvement and verification of that new algorithm. The simulation results show that the performance of the platform is highly close to the theoretical value.

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Section: Synchronization Modulesmentioning

confidence: 99%

“…According to the WRAN downlink signal processing flow, the signals need to be processed in the following modules after going through the synchronization and the OFDM demodulation processes [16][17][18].…”

Section: Module Implementationmentioning

confidence: 99%

Design and Study of Cognitive Network Physical Layer Simulation Platform

An¹,

Wang

Xiao

2014

Abstract and Applied Analysis

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“…MIMO system is used in many applications like WiMax, WiFi, WLANs, and many more signal processing applications. Kaiser et al (2004) and Park et al (2003) suggest architectures for the MIMO-OFDM transmitter and receiver sections. MIMO-OFDM system takes a data stream and splits it into N parallel data streams, each at a rate 1/N of the original rate.…”

Section: Introductionmentioning

confidence: 99%

“…This characteristic provides a system with great accuracy in terms of signal integrity. Source: Park et al (2003) Though the DDS and the IFFT functional units differ in many ways, it is important to mention that both of them will perform the same function, which is to transfer the signal from the frequency domain to the time domain. Replacing IFFT/FFT with DDS achieves reduction in hardware complexity and also achieves reconfigurabilty.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of NCO based OFDM model

Veena¹,

Swamy²

2011

IJIEI

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Today's communication standards, such as Hiperlan/2, IEEE 802.11a/g, IEEE 802.16 and DVB, already use OFDM for digital modulation. In this work, OFDM modulator and demodulator is designed using NCO-based logic. NCO designed can generate several frequencies that are required as per OFDM standards and supports 64, 32 and 16 subcarrier applications. The OFDM modulator and demodulator designed is modelled and validated against OFDM modulator with FFT logic. The NCO-based OFDM model reduces the computation time, thus improving latency and throughput. The NCO-based OFDM model is designed to operate with a sample time of 33 µsec, and spurious free dynamic range of 48 dBc, frequency resolution of 30.5176 MHz. A channel with SNR of 60 dB is used for verification of developed OFDM model.

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“…However, the performance of these methods degrades significantly due to the present of large CFO. This limits their use to fine timing estimation in synchronization schemes [7], [11], which use auto-correlation for coarse timing and crosscorrelation for fine timing estimation. L-DACS1 transmission is operated in L-band aeronautical channels which suffer from large interference and large Doppler shifts.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications

Pham

Vinod

Madhukumar

2017

Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology

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L-band Digital Aeronautical Communication System type-1 (L-DACS1) is an emerging standard that aims at enhancing air traffic management (ATM) by transitioning the traditional analog aeronautical communication systems to the superior and highly efficient digital domain. L-DACS1 employs modern and efficient orthogonal frequency division multiplexing (OFDM) modulation technique to achieve more efficient and higher data rate in comparison to the existing aeronautical communication systems. However, the performance of OFDM systems is very sensitive to synchronization errors. L-DACS1 transmission is in the L-band aeronautical channels that suffer from large interference and large Doppler shifts, which makes the synchronization for L-DACS more challenging. This paper proposes a novel computationally efficient synchronization method for L-DACS1 systems that offers robust performance. Through simulation, the proposed method is shown to provide accurate symbol timing offset (STO) estimation as well as fractional carrier frequency offset (CFO) estimation in a range of aeronautical channels. In particular, it can yield excellent synchronization performance in the face of a large carrier frequency offset.

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Efficient FPGA-Based Implementations of MIMO-OFDM Physical Layer

Cited by 21 publications

References 17 publications

Design and Study of Cognitive Network Physical Layer Simulation Platform

Design and Study of Cognitive Network Physical Layer Simulation Platform

Design and Analysis of NCO based OFDM model

An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications

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