Impact of Imperfect Parameter Estimation on the Performance of Multi-User ARGOS Receivers

Escrig, Benoît; Fares, Fares; Boucheret, Marie‐Laure; Calmettes, Thibaud; Guillon, Hervé

doi:10.1109/glocom.2010.5683429

Cited by 2 publications

(9 citation statements)

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“…The window length is optimal in the sense that it minimizes the MSE. Then, the minimal MSE is compared to the MCRB [10], [11] and we show that the achieved MSE falls within the error margins that have been defined in [4]. The rest of the paper is organized as follows.…”

Section: Introduction Argosmentioning

confidence: 86%

“…In the context of SIC receivers, the estimation of signal parameters is a key issue since erroneous parameter estimates degrade the performance in terms of Bit Error Rate (BER). This impact has been studied in [4] but no parameter estimator has been studied in details. There are four signal parameters for each user: the time delay, the carrier frequency, the amplitude, and the carrier phase.…”

Section: Introduction Argosmentioning

confidence: 99%

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Non Data Aided parameter estimation for Multi-User ARGOS receivers

Fares

Escrig

Boucheret

et al. 2012

Wireless Telecommunications Symposium 2012

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In this paper, parameter estimators are analyzed in the context of Successive Interference Cancelation (SIC) receivers for the ARGOS system. A Non Data Aided (NDA) feed forward estimator is proposed for the amplitude and the carrier phase parameters. Time delays are assumed to be known. A Window Accumulator (WA) is used to reduce the influence of the additive noise. In the presence of frequency offset, the window length L cannot be chosen arbitrarily large but an optimal length Lopt can be determined. However, because the estimator induces a different optimal length for each parameter, a trade-off must be made. We show that a window length of around 35 samples induces mean square errors (MSEs) lower than 0.012 for both parameters. The MSE of the proposed estimator is also compared to the Modified Cramér Rao Bound (MCRB).

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Section: Introduction Argosmentioning

confidence: 86%

Section: Introduction Argosmentioning

confidence: 99%

Non Data Aided parameter estimation for Multi-User ARGOS receivers

Fares

Escrig

Boucheret

et al. 2012

Wireless Telecommunications Symposium 2012

Self Cite

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“…The case of imperfect estimation is discussed later. We first define a loss factor for user p (see Figure in )

δ_{p} (dB) MathClass-rel= {(E_{b} MathClass-bin∕ N_{0})}_{p} (dB) MathClass-bin- {(E_{b} MathClass-bin∕ N_{0})}^{(ref)} (dB)

where ( E b ∕ N 0 ) p is the SNR per bit that is needed to achieve a BER performance of BER (ref) in a multiuser transmission for user p . Let

{(E_{b} MathClass-bin∕ N_{0})}_{p}^{(q)}

be the SNR per bit that is needed on signal q to achieve a successful decoding on user p .…”

Section: Performance Analysismentioning

confidence: 99%

“…The case of imperfect estimation is discussed later. We first define a loss factor for user p (see Figure 1 in [19])…”

Section: Performance Analysismentioning

confidence: 99%

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Multi‐user detection for the ARGOS satellite system

Escrig

Fares

Boucheret

et al. 2014

Satell Commun Network

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 12920 SUMMARYIn this paper, we evaluate several Multi-User Detection (MUD) architectures for the reception of asynchronous beacon signals in the ARGOS satellite system. The case of synchronous signals is studied first. Though impractical, this case provides useful guidance on the second part of the study, i.e., the design of MUD receivers for asynchronous users. This paper focuses more particularly on Successive Interference Cancellation (SIC) receivers since they have been shown to achieve a good performance complexity tradeoff. Several E b /N 0 degradation curves are obtained as a function of channel parameters. With these curves, a performance analysis is presented in order to determine in which conditions it is possible to successfully decode none, one, or more beacon signals. We show that SIC receivers can improve the percentage of served beacons from 50% to more than 67% for a population of 37,600 beacons.

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Impact of Imperfect Parameter Estimation on the Performance of Multi-User ARGOS Receivers

Cited by 2 publications

References 4 publications

Non Data Aided parameter estimation for Multi-User ARGOS receivers

Non Data Aided parameter estimation for Multi-User ARGOS receivers

Multi‐user detection for the ARGOS satellite system

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