Soft Detection and Decoding of Clipped and Filtered COFDM Signals

Zillmann, Peter; Rave, Wolfgang; Fettweis, Gerhard

doi:10.1109/vetecs.2007.333

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…In [8] Declercq et al proposed reducing the clipping noise in OFDM by introducing the Bayesian interference to the received signal. Finally Chen et al [9], Tellado et al [10], Kwon et al [11], Déjardin et al [12] and Zillmann et al [13] have proposed iterative techniques to estimate and eliminate the clipping noise in OFDM.…”

Section: Introductionmentioning

confidence: 99%

“…From the presented analysis we will show that, since in comparison with OFDM the SC-FDMA signal is not Gaussian distributed, it is not only necessary to compensate the constant attenuation and rotation of the signal constellation as in OFDM [7][8][9][10][11][12][13] but also the realization-varying complex amplification (RVCA) introduced by the transmitter amplifier. The paper presents also a receiver scheme based on the presented analysis to reduce the error probability of SC-FDMA systems undergoing nonlinear amplification.…”

Section: Introductionmentioning

confidence: 99%

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Iterative Suboptimal Maximum Likelihood Receiver for Nonlinearly Distorted SC-FDMA Symbols

Gazda¹,

Deumal²,

Bergadà³

et al. 2011

Frequenz

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Single Carrier Frequency Division Multiple Access (SC-FDMA) is the modulation scheme being employed in the uplink of Long Term Evolution (LTE) and will also be employed in the upcoming fourth generation (4G) system LTE Advanced. The main advantage of using SC-FDMA in the uplink in opposite to the traditional orthogonal frequency division multiple access (OFDM) is its lower sensitivity to nonlinear amplification. Nevertheless, the strict requirements of 4G systems suggest that techniques to reduce sensitivity even further should be introduced. In this paper, we evaluate the effect of nonlinearities in SC-FDMA and present an iterative receiver scheme to reduce the error probability of SC-FDMA systems undergoing nonlinear amplification. The technique consists in successive estimation and compensation of both the nonlinear distortion and the non-constant attenuation and rotation introduced by the transmitter high power amplifier (HPA). Simulation results expressed by the bit error rate (BER), the error vector magnitude (EVM) and the total degradation (TD) show that the proposed iterative receiver provides a significant performance improvement.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Iterative Suboptimal Maximum Likelihood Receiver for Nonlinearly Distorted SC-FDMA Symbols

Gazda¹,

Deumal²,

Bergadà³

et al. 2011

Frequenz

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“…However, the techniques in [19] and [20] work well at high clipping ratio (CR) values, and the technique in [20] needs bandwidth expansions. In [21], [22], maximumlikelihood detection methods are proposed for clipped OFDM signals. In this paper, based on the DAR, we have proposed a technique called iterative amplitude reconstruction (IAR) for coded OFDM, which recovers clipped signals by comparing the estimates of clipped and nonclipped OFDM samples [18].…”

Section: Introductionmentioning

confidence: 99%

Amplitude clipping and iterative reconstruction of MIMO-OFDM signals with optimum equalization

Kwon

Kim

2009

IEEE Trans. Wireless Commun.

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Multi-input multi-output orthogonal frequencydivision multiplexing (MIMO-OFDM) has become a promising candidate for next generation broadband wireless communications. However, like a single-input single-output (SISO)-OFDM, one main disadvantage of the MIMO-OFDM is the high peakto-average power ratio (PAPR), which can be reduced by using an amplitude clipping. In this paper, we propose clipped signal reconstruction methods for the MIMO-OFDMs with spatial diversity, such as space-time and space-frequency block codes (STBC/SFBC). The proposed methods are based on the technique called iterative amplitude reconstruction (IAR) for SISO-OFDM. It is shown that the IAR can be easily employed for the STBC-OFDM, but it cannot be directly applied to the SFBC-OFDM, because the transmitted sequences over different antennas are dependent due to the use of space-frequency code. We propose a new SFBC transmitter for clipped OFDM, which has approximately half the computational complexity of conventional SFBC-OFDM. The proposed clipping preserves the orthogonality of transmitted signals, and the clipped signals are iteratively recovered at the receiver. Further, we theoretically analyze the performance of IAR with optimum equalization, and also provide highly accurate channel estimation of the OFDM with amplitude clipping. Simulation results show that the proposed receivers effectively recover contaminated OFDM signals with a moderate computational complexity.Index Terms-Orthogonal frequency-division multiplexing (OFDM), amplitude clipping, space-time and space-frequency block code (STBC/SFBC), iterative amplitude reconstruction (IAR).

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