Maximum likelihood open loop carrier synchronizer for digital radio

Classen, F.; Meyr, H.; Sehier, Philippe

doi:10.1109/icc.1993.397313

Cited by 38 publications

(13 citation statements)

References 11 publications

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“…In order to reduce the complexity of the proposed methods, our goal is now to decrease the computation time of the optimization algorithm. Therefore, before applying the proposed CFO estimation technique, we propose to run first of all an existing algorithm that estimates the frequency offset by [10]…”

Section: A Reduced Complexity Cfo Estimation Algorithmmentioning

confidence: 99%

“…In [9], the authors presented a maximum likelihood frequency detector. Derived from this maximum likelihood principle, many algorithms of frequency estimation have been proposed in [10] for the Data-aided (DA), Decision Directed (DD) and Non-Data-Aided (NDA) cases. A new family of Non Linear Least Squares (NLLS) estimators was introduced in [11] for the joint estimation of the phase, the 2 EURASIP Journal on Advances in Signal Processing CFO and the Doppler for transmissions using MPSK (M-ary Phase Shift Keying) modulations.…”

Section: Introductionmentioning

confidence: 99%

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Blind Estimation of the Phase and Carrier Frequency Offsets for LDPC-Coded Systems

Imad

Houcke

Ghogho

2010

EURASIP J. Adv. Signal Process.

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We consider in this paper the problem of phase offset and Carrier Frequency Offset (CFO) estimation for Low-Density Parity-Check (LDPC) coded systems. We propose new blind estimation techniques based on the calculation and minimization of functions of the Log-Likelihood Ratios (LLR) of the syndrome elements obtained according to the parity check matrix of the error-correcting code. In the first part of this paper, we consider phase offset estimation for a Binary Phase Shift Keying (BPSK) modulation and propose a novel estimation technique. Simulation results show that the proposed method is very effective and outperforms many existing algorithms. Then, we modify the estimation criterion so that it can work for higher-order modulations. One interesting feature of the proposed algorithm when applied to high-order modulations is that the phase offset of the channel can be blindly estimated without any ambiguity. In the second part of the paper, we consider the problem of CFO estimation and propose estimation techniques that are based on the same concept as the ones presented for the phase offset estimation. The Mean Squared Error (MSE) and Bit Error Rate (BER) curves show the efficiency of the proposed estimation techniques.

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Section: A Reduced Complexity Cfo Estimation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blind Estimation of the Phase and Carrier Frequency Offsets for LDPC-Coded Systems

Imad

Houcke

Ghogho

2010

EURASIP J. Adv. Signal Process.

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“…In this paper, we proposed an high signal-to-noise ratio all-digital non-coherent SCCS bit synchronizing scheme using the frequency drift [3] and phase offset estimator [4] to compensate. Both acquisition and error performance demonstrate its effectiveness.…”

Section: Resultsmentioning

confidence: 99%

“…In this paper, we will enhance its original function and propose an all-digital signal processing non-coherent SCCS bit tracking scheme to overcome frquency and phase uncertainty. This scheme will use feedforward frequency drift [3] and phase offset estimation [4] to compensate both effects. Because this scheme uses the feedforward estimation, the local oscillator and feedback control can be omitted such that the whole structure is simpler than conventional approach.…”

Section: Introductionmentioning

confidence: 99%

“…We choose the unbiased estimator when the intersymbol-interference (ISI) is absent in[3].According to[3], the estimation of frequency drift is.2T +t-M where Tb is the symbol interval; L (even) is the estimation length; (zn( = d m ; arg(z,) = tan-' [w]; F(I.1) is arbitrary nonlinearity; d, is an arbitrary filter function; M is the M-ary modulation and M = 2 in this paper. Except the frequency drift, there usually exists a constant phase offset in the received signal.…”

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confidence: 99%

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