An Iterative Soft Bit Error Rate Estimation of Any Digital Communication Systems Using a Nonparametric Probability Density Function

Saoudi, Samir; Troudi, M.; Ghorbel, Faouzi

doi:10.1155/2009/512192

Cited by 24 publications

(21 citation statements)

References 7 publications

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“…It has also been shown that if hN + → 0 and N+hN + → +∞ when N+ → +∞, then the MSE of the Kernel estimator tends towards zero. The optimal integrated mean squared error (IMSE)-based smoothing parameter h * N + is given as [5],…”

Section: B Output Pdf Estimationmentioning

confidence: 99%

“…In this case, the characteristic function of the bit LLR is estimated using its first cumulants, i.e., moments, and the pdf is deduced with the aid of the inverse Fourier transform (IFT). In [5], a BER estimation technique where the transmitter sends a fixed information bit value has been proposed. At the receiver side, the BER is computed by estimating the pdf of received soft channel/receiver outputs.…”

Section: Introductionmentioning

confidence: 99%

“…Under this framework, the BER estimation problem becomes very challenging because of the following main reasons: 1 In soft BER estimation, soft observations are used instead of hard decisions. This provides reliable BER estimates and reduces the number of required samples/observations compared with hard decision-based BER estimation techniques [5].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Non-Parametric Iterative Soft Bit Error Rate Estimation Technique for Digital Communications Systems

Saoudi¹,

Ait-Idir²,

Mochida³

2011

2011 IEEE International Conference on Communications (ICC)

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This paper addresses the problem of unsupervised soft BER estimation for digital communications systems, where no prior knowledge about transmitted information bits is available. We show that the problem of BER estimation is equivalent to estimating the conditional probability density functions (pdf)s of soft channel/receiver outputs. We also propose a non parametric Gaussian Kernel-based pdf estimation technique. Then, we introduce an iterative stochastic expectation maximization (EM) algorithm for the estimation of both a priori and a posteriori probabilities of transmitted information bits, and the classification of soft observations according to transmitted bit values. These inputs serve in the iterative procedure used for the estimation of conditional pdfs. We analyze the performance of the proposed BER estimator and show that is asymptotically unbiased and pointwise consistent. We also provide numerical results in the case of CDMA systems and show that attractive performance is achieved compared with conventional Monte Carlo (MC)-aided techniques.

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Section: B Output Pdf Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Non-Parametric Iterative Soft Bit Error Rate Estimation Technique for Digital Communications Systems

Saoudi¹,

Ait-Idir²,

Mochida³

2011

2011 IEEE International Conference on Communications (ICC)

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“…However, it doesn't allow reducing the complexity of the iterative decoding algorithm. That's why the method proposed in [2] uses the pdf of the observed soft sample at the receiver. It assumes that any prior information on the pdf of received samples is available at the receiver side.…”

Section: Introductionmentioning

confidence: 99%

Fast performance prediction method for QPSK modulation

Et-tolba

Naamane²,

Belkasmi³

2014

Fourth International Conference on Communications and Networking, ComNet-2014

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Quadrature phase shift keying (QPSK) is one of modulation schemes used in advanced wireless communication systems. It is known to be robust against the channel impairement. However, when it is used with sophisticated signal processing, it makes Monte Carlo simulation method time consumming. In this paper, we propose a semi-analytical prediction method which provides a significant gain in term of computing time.

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“…BER closed-form expressions are generally difficult to obtain, and only upper and/or lower bounds are used. In [1], an online BER estimation technique where the transmitter sends a fixed information bit value has been proposed. At the receiver side, the BER is computed by estimating the probability density function (pdf) of received soft channel/receiver outputs.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised Bit Error Rate Estimation Using Maximum Likelihood Kernel Methods

Dong¹,

Ait-Idir²,

Saoudi³

2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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International audienceThis paper addresses the problem of unsupervised BER estimation for communication systems where no prior information about transmitted bits is available at the receiver. We introduce a new technique using kernel pdf estimation together with maximum likelihood-based smoothing parameter computation. Performance is evaluated in the case of CDMA and turbo codes. We show that the new technique provides good BER estimates even in the region of high SNR while it requires a few number of observations

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An Iterative Soft Bit Error Rate Estimation of Any Digital Communication Systems Using a Nonparametric Probability Density Function

Cited by 24 publications

References 7 publications

A Novel Non-Parametric Iterative Soft Bit Error Rate Estimation Technique for Digital Communications Systems

A Novel Non-Parametric Iterative Soft Bit Error Rate Estimation Technique for Digital Communications Systems

Fast performance prediction method for QPSK modulation

Unsupervised Bit Error Rate Estimation Using Maximum Likelihood Kernel Methods

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