Power delay profile and noise variance estimation for OFDM

Cui, Tao; Tellambura, Chintha

doi:10.1109/lcomm.2006.1576558

Cited by 68 publications

(90 citation statements)

References 7 publications

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“…Moreover, in opposition to non data-aided estimator such as [5], it is not based on the subjective choice of a threshold level. However, compared to the Modified ESE method, the estimator derived in this section suffers from the drawbacks of requiring prior time and frequency synchronization and is dependent on the CP and channel impulse response durations.…”

Section: Discussionmentioning

confidence: 99%

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Blind noise variance estimation for OFDMA signals

Socheleau

Pastor

Bey

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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In this paper, we present two new noise variance estimation methods of OFDMA signals transmitted through an unknown multipath fading channel. We focus on blind estimation as it does not require any pilot sequences and is therefore applicable to context, such as cognitive radio for instance, where few prior signal knowledge is available. The two methods are respectively based on the sparse nature of OFDMA signals and on the redundancy induced by the cyclic prefix. Numerical simulations compare the two algorithms and highlight their good performance.

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Section: Discussionmentioning

confidence: 99%

“…It can be easily shown that the estimator with the smallest variance is found for u = L. The difficulty is then to estimate L. Cui et al suggested an estimator in [5] 2 for NDA OFDM synchronization algorithms refer to [3] and [4] but…”

Section: Algorithmmentioning

confidence: 99%

Blind noise variance estimation for OFDMA signals

Socheleau

Pastor

Bey

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…This estimator has the major advantage of being independent of any threshold level and shows good performance compared to the threshold-based technique proposed in [14]. Here presented method has a computational complexity (C.C) of O(M s .D 2 ).…”

Section: Noise Power Estimationmentioning

confidence: 97%

“…Indeed, underestimating the SNR and not connecting to the access point are much better than overestimating it, and then we find that the QoS does not satisfy our needs and wasting time again finding other potential candidates. We point out that the method presented in [14], as our method, also requires a perfect time-frequency synchronization.…”

Section: Signal Power Estimationmentioning

confidence: 99%

Physical layer metrics for vertical handover toward OFDM-based networks

Oularbi

Socheleau

Houcke

et al. 2011

J Wireless Com Network

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The emerging trend to provide users with ubiquitous seamless wireless access leads to the development of multimode terminals able to smartly switch between heterogeneous wireless networks. This switching process known as vertical handover requires the terminal to first measure various network metrics relevant to decide whether to trigger a vertical handover (VHO) or not. This paper focuses on current and next-generation networks that rely on an OFDM physical layer with either a CSMA/CA or an OFDMA multiple-access technique. Synthesis of several signal feature estimators is presented in a unified way in order to propose a set of complementary metrics (SNR, channel occupancy rate, collision rate) relevant as inputs of vertical handover decision algorithms. All the proposed estimators are "non-data aided" and only rely on a physical layer processing so that they do not require multimode terminals to be first connected to the handover candidate networks. Results based on a detailed performance study are presented to demonstrate the efficiency of the proposed algorithms. In addition, some experimental results have been performed on a RF platform to validate one of the proposed approaches on real signals.

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“…This is not unexpected as is seen from [8], where the noise power is used to estimate the TO. The study on the noise power estimation can be found from [14] and references therein.…”

Section: ) Mle1mentioning

confidence: 99%

ML CFO and PO Estimation in DCT OFDM Systems under Non-Circular Transmissions

Cui

Gao

Nallanathan

et al. 2007

2007 IEEE International Conference on Communications

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Abstract-Frequency synchronization is one of the most important components in orthogonal frequency-division multiplexing (OFDM) systems. Recently, the discrete cosine transform (DCT) based OFDM system has received wide attentions due to several advantages. Hence, the study of frequency synchronization issue for this newly raised system is well on its time. To provide a thorough study, we consider the non-circular transmissions, and the results can be easily generated to circular transmissions if the elliptic variance is set to zero. We present three joint maximum likelihood (ML) carrier frequency offset (CFO) and phase offset (PO) estimators. From both the theoretical analysis and the numerical comparisons, we found new advantages of the DCT-OFDM over the traditional discrete Fourier transform (DFT) based OFDM. These advantages, as well as those already studied in the early works on DCT-OFDM, support the belief that the DCT-OFDM is a new promising multi-carrier modulation (MCM) scheme.

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Power delay profile and noise variance estimation for OFDM

Cited by 68 publications

References 7 publications

Blind noise variance estimation for OFDMA signals

Blind noise variance estimation for OFDMA signals

Physical layer metrics for vertical handover toward OFDM-based networks

ML CFO and PO Estimation in DCT OFDM Systems under Non-Circular Transmissions

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