2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC) 2015
DOI: 10.1109/ccnc.2015.7157942
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Increasing the lock-in probability of blind symbol time offset estimators in OFDM systems

Abstract: Abstract-For orthogonal frequency division multiplexing (OFDM) receivers, the mutual orthogonality of the subcarriers is preserved only if the estimated symbol timing error lies in the lock-in region. Conventionally, a bias is added to the coarse symbol time offset (STO) estimate to move the symbol timing error into the lock-in region, thus increasing the lock-in probability. Upon review of the literature, no analysis has been provided on determining which bias values can improve the lockin probability. This p… Show more

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“…7, the proposed algorithm has the smallest steadystate error; however, note that all of the algorithms exhibit a Algorithm from [4] bias in that the steady-state error is more than a sample. This is explained by the fact that the CML cost function was derived under the assumption of a single path channel; however, in multipath channels, the intersymbol interference occurring in the cyclic prefix causes the STO estimate * that maximizes (2) to be greater than the true STO (i.e., * > θ) [8]. Hereafter, the algorithms are defined to have converged once the steady-state values are within ±0.1 samples of each other.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…7, the proposed algorithm has the smallest steadystate error; however, note that all of the algorithms exhibit a Algorithm from [4] bias in that the steady-state error is more than a sample. This is explained by the fact that the CML cost function was derived under the assumption of a single path channel; however, in multipath channels, the intersymbol interference occurring in the cyclic prefix causes the STO estimate * that maximizes (2) to be greater than the true STO (i.e., * > θ) [8]. Hereafter, the algorithms are defined to have converged once the steady-state values are within ±0.1 samples of each other.…”
Section: Simulation Resultsmentioning
confidence: 99%