Sixth-Order Statistics-Based Non-Data-Aided SNR Estimation

López-Valcarce, Roberto; Mosquera, Carlos

doi:10.1109/lcom.2007.348298

Cited by 65 publications

(48 citation statements)

References 5 publications

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“…Several moment based estimators are studied in the literature [6,7,8,9]. The 10 th order estimate is based on 2 M , 8 M and 10 M defined In order to find the root of (3) which corresponds to the estimated SNR we use Newton-Raphson method with starting point as the estimated value using 4 th order estimator which requires solution of only a quadratic equation as given in [9].…”

Section: Th Order Moment Based Snr Estimatormentioning

confidence: 99%

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Tenth Order Envelope Moment Based SNR Estimation Technique Using Newton-Raphson Method for AWGN and Rician Channels

Ghodeswar

Poonacha

2015

2015 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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The Signal to noise ratio (SNR) estimation plays an important role in improving performance of adaptive wireless communication systems as well as software defined radio (SDR) or cognitive radio receivers in the future. SNR information can help in changing modulation schemes at the transmitter and also use different demodulation algorithms at the receiver to enhance performance and provide channel quality information required for handoff, power control and channel assignment algorithms. In this paper we propose and study a 10 th order non data aided (NDA) moment based SNR estimation technique for QAM modulated signals over AWGN and Rician channel models. We use Newton-Raphson method for finding SNR from the resulting 5 th order polynomial. This approach is more efficient than directly finding roots or use of look up tables considered in the literature and reduces computational and memory complexity considerably for even low order moment based methods proposed in the literature. We analyze the performance of the proposed estimator for QAM and PSK signals and compare with SNR estimation based on fourth order, sixth order and eighth order moments for AWGN as well as Rician channel models. Our simulation results show that the moment based SNR estimators work well for low SNR values that are of interest in communication system design.

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Section: Th Order Moment Based Snr Estimatormentioning

confidence: 99%

“…The algorithm does not require any information about the signal parameters beforehand and the calculations required for proposed algorithm are less complex. Moment based SNR estimators are studied in [1,5,6,7,8]. We will outline this approach in the next section.…”

Section: Introductionmentioning

confidence: 99%

Tenth Order Envelope Moment Based SNR Estimation Technique Using Newton-Raphson Method for AWGN and Rician Channels

Ghodeswar

Poonacha

2015

2015 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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“…where the noise variance M 21,g can be estimated by two existing approaches [13,14]. As in [8,9], the new estimator (15) is used to classify candidate digital modulation formats in an unknown multipath channel by the minimum distance criterion in (4).…”

Section: New Estimator Of the Normalised Fourth-order Cumulantmentioning

confidence: 99%

“…First, the statistical expectations of the fourth-order cross-cumulants in (14) can be derived as follows, for k = 1, …, L − 1 (see (16) It can be found from (16) that the estimatesĈ 42,y (k), k = 0, …, L − 1, are asymptotically unbiased. Or rather, the bias of the estimate in (14) can be negligible when the length of received symbol sequence is much larger than the channel order L. In this way, the numerator of the proposed estimator in (15) is asymptotically unbiased.…”

Section: Statistical Expectation Of the New Estimatormentioning

confidence: 99%

A new cumulant estimator in multipath fading channels for digital modulation classification

Liu

Shui

2014

IET Communications

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In this study, the authors consider the problem of digital modulation classification in a multipath channel using the cumulant-based method. A new estimator is proposed to estimate the fourth-order cumulant of transmitted symbol in a multipath channel with the help of the fourth-order cross-cumulants of the received symbols. The proposed estimator does not need the estimation of the multipath channel coefficients and is shown to be asymptotically unbiased. The channel order is an important factor to affect the estimator. The impact of the channel order mismatch on the estimator is analysed and it is proved that the estimator keeps unbiased in the case of the overestimation of the channel order. The simulated experiments are made to verify the cumulant-based classifier using the new estimator and the results show that it attains better performance for digital modulation classification than the two existing cumulant-based classifiers in a multipath channel.

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“…The resilience of EVB estimators to I/Q imbalance is a desired advantage in cases where SNR estimation is required before synchronization or equalization. EVB estimators exist for different channel models, different systems [7], [13]- [19], and using different higher order statistics [20], [21]. Also, extensions to SIMO schemes have been provided by [22]- [24].…”

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confidence: 99%

Blind SNR Estimation of Gaussian-Distributed Signals in Nakagami Fading Channels

Hafez

Khattab

Shalaby

2015

IEEE Trans. Wireless Commun.

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Abstract-A blind (non-data-aided) SNR estimator using the statistical moments of the received signal is proposed. The proposed envelope-based non-data-aided estimator works for any time-domain Gaussian-distributed signal (e.g., OFDM signals). A closed-form expression for the estimated SNR as a function of the moments of the received signal and the Nakagami-m parameter, is derived. Interestingly, the obtained expression shows that the proposed estimator operation and performance is independent of the constellation of the received signal. Moreover, the existence of the closed-form expression results in lower implementation complexity. Furthermore, to enable theoretical performance analysis, a general mathematical expression is derived for the even moments of the received signal in terms of SNR and the Nakagami-m parameter. The performance of the proposed estimator is evaluated based on the mean-squared-error, under different conditions of the channel. An extension of our SNR estimation method into multiple antennas configurations is provided. Our results reveal that the proposed estimator works better in low SNR conditions, which is attractive to applications such as cognitive radio spectrum sharing scenarios.

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Sixth-Order Statistics-Based Non-Data-Aided SNR Estimation

Cited by 65 publications

References 5 publications

Tenth Order Envelope Moment Based SNR Estimation Technique Using Newton-Raphson Method for AWGN and Rician Channels

Tenth Order Envelope Moment Based SNR Estimation Technique Using Newton-Raphson Method for AWGN and Rician Channels

A new cumulant estimator in multipath fading channels for digital modulation classification

Blind SNR Estimation of Gaussian-Distributed Signals in Nakagami Fading Channels

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