Totally blind APP channel estimation with higher order modulation schemes

Sanzi, F.; Necker, Marc

doi:10.1109/vetecf.2003.1285205

Cited by 8 publications

(8 citation statements)

References 11 publications

(26 reference statements)

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“…Note that 8MiniErr constellation satisfies (10), which is the case discussed in [8]. Our scheme is motivated by [7] and [9].…”

Section: Signal Design For Tbcementioning

confidence: 97%

“…Necker and Stuber proposed to use dual MPSK constellations for TBCE [7], but the channel can not vary too fast in the frequency domain. Necker and Sanzi tried a particular 8-ary minimum-error (8MiniErr) constellation [8], but no attempt was made for the general case. TBCE for Space-Time Block Coding systems by dual-constellation was rigorously discussed in [9], [10], but still only MPSK constellation was covered.…”

Section: Introductionmentioning

confidence: 99%

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On scalar ambiguity in blind channel estimation for OFDM systems

Wang

Liu

et al. 2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Blind channel estimation is a promising technique to reduce the pilot overhead. Unfortunately, most existing algorithms suffer from the scalar ambiguity problem, and hence only achieve semiblind identification. In this paper, we show that with the information of source constellation, the phase of the ambiguous scalar can be divided into a fractional part and an integer part. Then we propose a multiple-constellation scheme enabling totally blind identification regardless of constellation type for OFDM systems. The necessary and sufficient condition for eliminating the scalar ambiguity is given. An application example shows that our scheme can help other algorithms circumvent the annoying ambiguity.

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“…Note that 8MiniErr constellation satisfies (10), which is the case discussed in [8]. Our scheme is motivated by [7] and [9].…”

Section: Signal Design For Tbcementioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

On scalar ambiguity in blind channel estimation for OFDM systems

Wang

Liu

et al. 2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…The main objective of these papers was to reduce the complexity of the inner decoder. Two main methods can be distinguished: first an explicit estimation of the channel phase followed by coherent detection, see [19,20], and for the 2D-case [24][25][26], or secondly by directly calculating the a posteriori probabilities of the information symbols as in [17,18,22], and for the 2D case [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition

Houtum

Willems

2012

Journal of Electrical and Computer Engineering

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We investigate iterative trellis decoding techniques for DAB, with the objective of gaining from processing 2D-blocks in an OFDM scheme, that is, blocks based on the time and frequency dimension, and from trellis decomposition. Trellis-decomposition methods allow us to estimate the unknown channel phase since this phase relates to the sub-trellises. We will determine a-posteriori sub-trellis probabilities, and use these probabilities for weighting the a-posteriori symbol probabilities resulting from all the sub-trellises. Alternatively we can determine a dominant sub-trellis and use the a-posteriori symbol probabilities corresponding to this dominant sub-trellis. This dominant sub-trellis approach results in a significant complexity reduction. We will investigate both iterative and non-iterative methods. The advantage of non-iterative methods is that their forwardbackward procedures are extremely simple; however, also their gain of 0.7 dB, relative to two-symbol differential detection (2SDD) at a BER of10-4, is modest. Iterative procedures lead to the significantly larger gain of 3.7 dB at a BER of10-4for five iterations, where a part of this gain comes from 2D processing. Simulations of our iterative approach applied to the TU-6 (COST207) channel show that we get an improvement of 2.4 dB at a Doppler frequency of 10 Hz.

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“…In order to achieve this target the channel code has to satisfy an asymmetry condition. In [5], [6] asymmetric signaling constellations were utilized for phase correct blind estimation techniques. However, code asymmetry does not necessarily involve symbol asymmetry.…”

Section: Introductionmentioning

confidence: 99%

On Phase Correct Blind Deconvolution of Flat MIMO Channels Exploiting Channel Encoding

Scherb

Kühn

Kammeyer

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

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Abstract-In this paper we propose a new algorithm separating blindly the sources of a flat MIMO-communication link, where all sources are independently channel encoded. To this end the proposed method exploits statistical dependencies caused by the channel code for blindly estimating the channel and simultaneously adjusting a linear equalizer. In contrast to most common blind source separation methods the suggested method completely resolves the phase and permutation ambiguity of the estimated channel impulse response and the equalizer. The performance of the presented method will be evaluated by numerical results.

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Totally blind APP channel estimation with higher order modulation schemes

Cited by 8 publications

References 11 publications

On scalar ambiguity in blind channel estimation for OFDM systems

On scalar ambiguity in blind channel estimation for OFDM systems

Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition

On Phase Correct Blind Deconvolution of Flat MIMO Channels Exploiting Channel Encoding

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