Impact of front-end non-idealities on bit error rate performance of WLAN-OFDM transceivers

Côme, B.; Ness, Reto; Donnay, S.; Perre, Liesbet Van der; Eberle, Wolfgang; Wambacq, Piet; Engels, M.; Bolsens, I.

doi:10.1109/rawcon.2000.881863

Cited by 51 publications

(37 citation statements)

References 3 publications

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“…Such analyses will, however, not suffice when implementing a wireless system based on the MIMO OFDM concept. Studies, e.g., [1], concerning the implementation of single-input single-output (SISO) OFDM showed that other system related parameters may significantly affect the system performance. Therefore this letter investigates the influence of non-perfect oscillators, i.e., oscillators causing phase noise (PN), on the performance of a multiple antenna OFDM system.…”

mentioning

confidence: 99%

On the influence of phase noise induced ICI in MIMO OFDM systems

Schenk

Tao²,

Smulders

et al. 2005

IEEE Commun. Lett.

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Abstract-The influence of transmitter and receiver phase noise (PN) on the performance of a multiple-input multipleoutput orthogonal frequency division multiplexing (MIMO OFDM) based communication system is analyzed. It is shown that in the case of frequency flat Rayleigh fading, the influence of receiver and transmitter PN is equal. In the case of independent Rayleigh fading, however, the impact of the receiver PN is shown to depend on the ratio between the number of transmit and receive branches.Index Terms-MIMO systems, orthogonal frequency division multiplexing (OFDM), phase noise.

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mentioning

confidence: 99%

On the influence of phase noise induced ICI in MIMO OFDM systems

Schenk

Tao²,

Smulders

et al. 2005

IEEE Commun. Lett.

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“…Unfortunately, OFDM is sensitive to these non-idealities in the receiver front-end [7,8]. This leads either to stringent front-end specifications and thus an expensive radio or to large performance degradations.…”

Section: Introductionmentioning

confidence: 99%

“…The effect of IQ imbalance on frequency offset estimation has been investigated by References [15,16]. Also, the separate impact of phase noise on OFDM has been studied by many authors [8,9,[17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Joint compensation of IQ imbalance, frequency offset and phase noise in OFDM receivers

Tubbax

Perre

Donnay

et al. 2004

Trans Emerging Tel Tech

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SUMMARYZero-IF receivers are getting a lot of attention because of their potential to enable low-cost OFDM terminals. However, zero-IF receivers also introduce IQ imbalance which can have a huge impact on the performance. Rather than increasing component cost to decrease the IQ imbalance, an alternative is to tolerate the IQ imbalance and compensate for it digitally. Current solutions either require additional analog hardware or are based on digital algorithms that converge too slowly for bursty communication. Moreover, the impact of a frequency offset and phase noise on the IQ imbalance estimation/compensation problem is not considered. In this paper, we analyze the joint IQ imbalance/frequency offset/phase noise estimation and propose a low-cost, highly effective, all-digital mitigation scheme. For large IQ imbalance large frequency offsets and in the presence of phase noise our solution still results in an average implementation loss below 0.5 dB. It, therefore, enables the design of low-cost, lowcomplexity OFDM receivers. Copyright # 2004 AEI.

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“…In all scenarios, the transmitter has to be operated at a larger back-o↵ than normally required for the corresponding link (e.g. in the high-end scenario, more than the normally required 6-8 dB for 802.11g WLAN [22] ). This causes power-ine cient operation.…”

Section: Transmitter Nonlinearitymentioning

confidence: 99%

“…E.g. for the high-end scenario, to transmit 64-QAM OFDM for a 54-Mbps WLAN link, about 8 bits are required in the DAC [22] resulting in about 50 dB dynamic range. Since the EVM requirement for this link is -25 dB, about 50 dB-25 dB=25 dB margin is taken in the DAC to make its EVM contribution (quantization noise and clipping noise due to high peak-to-average ratios) non-dominant.…”

Section: Dac Dynamic Rangementioning

confidence: 99%

CMOS frond-end techniques for in-band full-duplex radio

Broek¹

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Impact of front-end non-idealities on bit error rate performance of WLAN-OFDM transceivers

Cited by 51 publications

References 3 publications

On the influence of phase noise induced ICI in MIMO OFDM systems

On the influence of phase noise induced ICI in MIMO OFDM systems

Joint compensation of IQ imbalance, frequency offset and phase noise in OFDM receivers

CMOS frond-end techniques for in-band full-duplex radio

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