A prototype analog/mixed-signal fast fourier transform processor IC for OFDM receivers

Lehne, Mark; Raman, Sanjay

doi:10.1109/rws.2008.4463614

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…Figure (16) shows that using the (CC) makes the BER reach zero at the value of Eb / Eo = 13 dB. Through modeling the system shown in Figure (13), the effect of using DWT instead of FFT on BER was studied, and the results showed that the BER value reaches zero when the value of Eb / Eo = 7 dB.Through simulation of the system shown in Figure (14) and studying the effect of each of the (CC) and the use of DWT, the results shown in Figure (17) showed that the BER value reaches almost zero when the value of Eb / Eo = 5dB. we can observe the following: Using both side coding and choppy wavelet transformation with MIMO-OFDM system achieves beast s performance of system than utilizing technology for antenna selection which achieved 1 dB energy of transmission savings Just.…”

Section: G Mimo-ofdm (Dwt) (Cc)systemmentioning

confidence: 98%

“…Then folding occurs among the outgoing signal and the communication channel [15][16]. The figure (13 ) indications the box graph of the enhanced MIMO _ OFDM system using Inverse Discrete Waveform Transform (IDWT) instead of (IFTT) at the transmitting end and Discrete Waveform Transform (DWT) instead of (FFT) at the receiving end, and from the above figure it is clear that there is no cyclic prefix [20].…”

Section: F Ofdm (Dwt) Systemmentioning

confidence: 99%

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Reliability Achievement of MIMO-OFDM Communication Systems

Nawaf,

Abdula,

Husein

2023

ICAENS

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Wireless communication must have high spectral efficacy and the ability to resist fading channel in an environment of channel multipath, and it is difficult to achieve these requirements with traditional modulation techniques, but the Multiple system Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) It can fulfill these requirements. Research offers a way to improve the performance of OFDM- MIMO system by decreasing the Bit Error Rate (BER) using both (DWT) Discrete Wavelet Transform and Convolutional Coding (CC). The OFDM system is modeled with a single antenna at the transmitting end and a single antenna at the receiving end (DWT) . Multiple Input Single Output (MISO) By adding a second antenna at the transmitting end, and then improving it with Output Multiple Input Single technology SIMO (by adding a second antenna at the receiving end, and with MIMO technology by adding a second antenna at the receiving end The transmitter and a second antenna at the receiving end, thus optimizing the OFDM-MIMO system using convolution coding, Then using DWT instead of FFT (Fast Fourier Transform ). The research is based on the study of BER according to bit energy to noise energy density N0/Eb. The system was modeled and tested using the MATLAB program. The use of (DWT) and (CC) in OFDM-MIMO reduces N0/Eb )4.7( dB times in the item of the Rician fading channel and 3.2 dB times in the item of the Rayleigh fading channel when BER =10-3.

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Section: G Mimo-ofdm (Dwt) (Cc)systemmentioning

confidence: 98%

Section: F Ofdm (Dwt) Systemmentioning

confidence: 99%

Reliability Achievement of MIMO-OFDM Communication Systems

Nawaf,

Abdula,

Husein

2023

ICAENS

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“…This approach is slow and difficult to scale to larger arrays because the twiddle factors become closer to each other as the FFT size increases, making them harder to realize accurately. More recently, a 0.13 μm CMOS 8-point Cooley-Tuckey FFT processor for orthogonal frequency division multiplexing (OFDM) applications was reported [49], [50]. The processor uses a time-interleaving bank of sample-andholds and discrete time analog multipliers, and has been tested with 1 GS/s OFDM inputs.…”

Section: Circuit Topologies Beamformingmentioning

confidence: 99%

Analog Approximate-FFT 8/16-Beam Algorithms, Architectures and CMOS Circuits for 5G Beamforming MIMO Transceivers

Madanayake

Tang

Coelho

et al. 2018

IEEE J. Emerg. Sel. Topics Circuits Syst.

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Emerging millimeter-wave (mmW) wireless systems require beamforming and multiple-input multipleoutput (MIMO) approaches in order to mitigate path loss, obstructions, and attenuation of the communication channel. Sharp mmW beams are essential for this purpose and must support baseband bandwidths of at least 1 GHz to facilitate higher system capacity. This paper explores a baseband multibeamforming method based on the spatial Fourier transform. Approximate computing techniques are used to propose a lowcomplexity fast algorithm with sparse factorizations that neatly map to integer W/L ratios in CMOS current mirrors. The resulting approximate fast Fourier transform (FFT) can thus be efficiently realized using CMOS analog integrated circuits to generate multiple, parallel mmW beams in both transmit and receive modes. The paper proposes both 8-and 16-point approximate-FFT algorithms together with circuit theory and design information for 65-nm CMOS implementations. Postlayout simulations of the 8-point circuit in Cadence Spectre provide well-defined mmW beam shapes, a baseband bandwidth of 2.7 GHz, a power consumption of 70 mW, and a dynamic range >42.2 dB. Preliminary experimental results confirm the basic functionality of the 8-beam circuit. Schematic-level analysis of the 16-beam I/Q version show worst-case and average side lobe levels of −10.2 dB and −12.2 dB at 1 GHz bandwidth, and −9.1 dB and −11.3 dB at 1.5 GHz bandwidth. The proposed multibeam architectures have the potential to reduce circuit area and power requirements while meeting the bandwidth requirements of emerging 5G baseband systems.

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“…For example, we are applying analog signal-processing techniques for OFDM signal reception in ultra-wide-band (UWB) receivers [56]. To reduce the information conversion burden on the receiver ADCs, the multiplication-intensive FFT function is relocated ahead of the ADC into the discrete time analog domain.…”

Section: B Radio-frequency and Mixed-signal Integrated Circuit Designmentioning

confidence: 99%

Cognitive Radio and Networking Research at Virginia Tech

et al. 2009

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A large research team with a wide range of expertiseVfrom ICs and reconfigurable computing to wireless networkingVworks to achieve the promise of cognitive radio. ABSTRACT | More than a dozen Wireless @ Virginia Tech faculty are working to address the broad research agenda of cognitive radio and cognitive networks. Our core research team spans the protocol stack from radio and reconfigurable hardware to communications theory to the networking layer.Our work includes new analysis methods and the development of new software architectures and applications, in addition to work on the core concepts and architectures underlying cognitive radios and cognitive networks. This paper describes these contributions and points towards critical future work that remains to fulfill the promise of cognitive radio. We briefly describe the history of work on cognitive radios and networks at Virginia Tech and then discuss our contributions to the core cognitive processing underlying these systems, focusing on our cognitive engine. We also describe developments that support the cognitive engine and advances in radio technology that provide the flexibility desired in a cognitive radio node. We consider securing and verifying cognitive systems and examine the challenges of expanding the cognitive paradigm up the protocol stack to optimize end-to-end network performance.Lastly, we consider the analysis of cognitive systems using game theory and the application of cognitive techniques to problems in dynamic spectrum sharing and control of multipleinput multiple-output radios.

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A prototype analog/mixed-signal fast fourier transform processor IC for OFDM receivers

Cited by 12 publications

References 9 publications

Reliability Achievement of MIMO-OFDM Communication Systems

Reliability Achievement of MIMO-OFDM Communication Systems

Analog Approximate-FFT 8/16-Beam Algorithms, Architectures and CMOS Circuits for 5G Beamforming MIMO Transceivers

Cognitive Radio and Networking Research at Virginia Tech

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