A Single FPGA Filter-Based Multipath Fading Emulator

Fard, S.F.; Alimohammad, Amirhossein; Cockburn, B.F.; Schlegel, Christian

doi:10.1109/glocom.2009.5425796

Cited by 28 publications

(19 citation statements)

References 15 publications

(16 reference statements)

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“…The IIR filter design stems from ill-conditioned Yule-Walker equations, sometimes leading to instability [49]. However, an IIR design is presented in [71].…”

Section: Mobile Channel Simulations 231 Review Of Simulation Technimentioning

confidence: 99%

Absolute phase in mobile channels

Ren¹,

Vaughan²

2011

Wireless Communications

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Radio channels are usually modeled as a well‐defined Rice process. The statistics of its wrapped phase (i.e., phase values in [−π,π)), such as the mean, variance, and probability density function (pdf), are known. The absolute phase, i.e., the accumulated phase change over an observation interval, is considered here as a new channel variable. Its use for channel characterization can extend to cognitively track users. However, there is very little knowledge about the statistics of the absolute phase. In fact, the known, associated effects of the absolute phase, such as various click noise contributions, are not consistently treated or interpreted in the literature. The definitions of absolute phase, based on both unwrapping and on other methods previously discussed for FM receivers, lay a basis for analysis of the mean, variance, and pdf of the absolute phase for a well‐defined Rice process. The conditions are identified for approximate pdf models to hold, and it is noted that pdfs for the absolute phase for small or medium Rice factor and small observation interval are open problems. Simulations are used to support the analysis and discussion. Copyright © 2009 John Wiley & Sons, Ltd.

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“…The IIR filter design stems from ill-conditioned Yule-Walker equations, sometimes leading to instability [49]. However, an IIR design is presented in [71].…”

Section: Mobile Channel Simulations 231 Review Of Simulation Technimentioning

confidence: 99%

Absolute phase in mobile channels

Ren¹,

Vaughan²

2011

Wireless Communications

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“…Xiao [1] proposed a novel method for generating Rayleigh fading channels, which significantly improved the statistical properties of the generated channel. Rayleigh channels have also been implementated in a VLSI architecture [2] and FPGA platforms [3], [4]. Beaulieu and Cheng [7] utilized a rational polynomial to implement a Nakagami-m fading channel.…”

Section: Introductionmentioning

confidence: 99%

Weibull and Suzuki fading channel generator design to reduce hardware resources

Huang

Rajan

Camp

2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-A novel and efficient method for emulating a Weibull fading channel is presented. The proposed Weibull fading channel generator employs CORDIC technology which can work without the need for a multiplier, a scarce FPGA resource when emulating wireless channels. Using the proposed hardware implementation structure, the resource consumption is effectively reduced. Further, the proposed generator is able to produce the Weibull fading channel with arbitrary values of the shape parameter γ, in contrast to existing state-of-the-art methods, which can only generate Weibull channels with fixed values of γ. In simulation, the PDF of the Weibull fading channel agrees closely with the theoretical values. The simulation results also show the effectiveness of the proposed structure to generate Lognormal and Suzuki fading channels.

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“…Typically, wireless channels are commonly simulated using finite impulse response (FIR) filters, as in [13], [15] and [16]. Nowadays, different approaches have been widely used in filtering, such as distributed arithmetic (DA) and canonical signed digits (CSDs).…”

Section: Introductionmentioning

confidence: 99%

Ghais El Zein. MIMO Hardware Simulator Design for Heterogeneous Indoor Environments Using Tgn Channel Models

Habib¹

2012

AJNC

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Abstract:A wireless communication system can be tested either in actual conditions or by using a hardware simulator reproducing actual conditions. With a hardware simulator it is possible to freely simulate a desired type of a radio channel. This paper presents new frequency domain and time domain architectures for the digital block of a hardware simulator of Multiple-Input Multiple-Output (MIMO) propagation channels. This simulator can be used for Wireless Local Area Networks (WLAN) 802.11ac applications. It characterizes an indoor scenario using TGn channel models. After the description of the general characteristics of the hardware simulator, the new architectures of the digital block are presented and designed on a Xilinx Virtex-IV Field Programmable Gate Array (FPGA). Their accuracy, occupation on the FPGA and latency are analyzed.

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A Single FPGA Filter-Based Multipath Fading Emulator

Cited by 28 publications

References 15 publications

Absolute phase in mobile channels

Absolute phase in mobile channels

Weibull and Suzuki fading channel generator design to reduce hardware resources

Ghais El Zein. MIMO Hardware Simulator Design for Heterogeneous Indoor Environments Using Tgn Channel Models

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