Signal quality estimation algorithm

This paper deals with the problem of signal and interference power estimation in communication over wireless fading channels. In this work, a new class of estimators for joint estimation of signal and Gaussian interference variance is proposed. Our study includes developing a unified framework that covers the design and performance analysis of the estimators. The estimators addressed in this paper, namely maximum likelihood, minimum variance unbiased, best linear unbiased and sub-space estimators, require knowledge of eigenvectors and eigenvalues of the channel autocorrelation matrix. To relax this requirement, a tracking mechanism for least-squares estimation of the channel eigen-space is devised. Several aspects of the statistical characteristics of the resulting estimators are presented. As a salient feature, the proposed methods are suitably applicable to estimation of signal and interference power in wideband code division multiple access (WCDMA) used in third generation (3G) mobile wireless communication systems.Index Terms-Signal and interference estimation, SNR estimation, sufficient statistics, minimum variance unbiased estimation, maximum likelihood estimation, best linear unbiased estimator, Wideband CDMA systems, subspace tracking.

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“…Clearly, the asymptotic bias for signal term is almost equal to the signal power itself. These facts were previously touched upon in [18].…”

Section: Rᾱ[i J])) + σmentioning

confidence: 80%

Robust estimation of signal and interference power in rayleigh fading channels

Lashkarian

Toussi²

2006

IEEE Trans. Wireless Commun.

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“…As shown in Fig. 3, the estimation method in [4] is suitable for QPSK modulation scheme only SNR values are larger than 6 dB. The proposed method shows very stable MSE performance in high order modulation scheme compared to the other methods.…”

Section: Figure 2 Mse Performance Of the Proposed Estimatormentioning

confidence: 90%

“…We also compare the MSE performance of the proposed estimator to the other previous methods in [4] and [5]. We investigated about a thousand samples to estimate SNR.…”

Section: Figure 2 Mse Performance Of the Proposed Estimatormentioning

confidence: 99%

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A Simple Hardware Structure for SNR Estimation

Kim

Park

Yeo

et al. 2007

MILCOM 2007 - IEEE Military Communications Conference

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In this paper, we present an efficient hardware structure to estimate signal to noise ratio (SNR) for M-ary amplitude and phase modulation schemes at the receiver. The proposed hardware structure requires a counter and two comparators with a predetermined look up table (LUT). For an estimation error of less than 1 dB, it needs just about a few hundred samples. We can design the LUTs with theoretically derived values and tailor them for special purposes. We demonstrate a few simulation results of the estimation algorithm, and present hardware implementation results.

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“…The value of SIR can be estimated using the first and second moments [19], [20] when there is no perforation…”

Section: A Sir Estimationmentioning

confidence: 99%

Collision Mitigation by Log-Likelihood Ratio (LLR) Conversion in Orthogonal Code-Hopping Multiplexing

Kwon

Park

Sung³

2006

IEEE Trans. Veh. Technol.

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Log-likelihood ratio (LLR) conversion schemes are proposed to mitigate the effect of collisions (or perforations) that occur in orthogonal code-hopping multiplexing (OCHM), which was previously proposed to accommodate more downlink channels than the number of orthogonal codewords. The proposed LLR conversion schemes greatly reduce the required SNR in channel decoding even when the perforation probability is high. The perforation probability in some LLR conversion schemes is estimated and several estimation methods are proposed. An LLR conversion scheme without estimation of the perforation probability is also proposed to avoid accurate estimation. The performance of the proposed schemes is evaluated by simulation in terms of the required E b /N 0 for a 1% block error rate (BLER).

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Signal quality estimation algorithm

Cited by 6 publications

References 3 publications

Robust estimation of signal and interference power in rayleigh fading channels

Robust estimation of signal and interference power in rayleigh fading channels

A Simple Hardware Structure for SNR Estimation

Collision Mitigation by Log-Likelihood Ratio (LLR) Conversion in Orthogonal Code-Hopping Multiplexing

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