Computationally efficient block transmission systems with and without guard periods

Sinn, C.V.; Götze, J.

doi:10.1016/j.sigpro.2006.12.007

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…The resulting IBI will corrupt the estimated data. However, due to the finite channel length we can expect that the distorting influence of the neighbouring blocks is more significant in the border parts of the estimated blocks [3]. To verify this, the ensemble-averaged estimation error for three neighbouring blocks is depicted in Figure 1 (a).…”

Section: Overlapping Data Estimationmentioning

confidence: 86%

“…In case of using a cyclic prefix as guard period [3] the resulting block matrices of size B × B with B V have a circular structure. This allows the use of FFT-based (Fast Fourier Trasform) EVD algorithms (Eigenvalue Decomposition) to compute Equation (2) …”

Section: Data Modelmentioning

confidence: 99%

“…For example in the WLAN standard 802.11a [2], 20% of the total transmission time is allocated for guard periods. By using an overlapping estimation scheme [3], we can combine the advantages of block processing and the avoidance of guard periods. This is realized by estimating the received data block-wise, accepting that the IBI will corrupt the estimated data.…”

Section: Introductionmentioning

confidence: 99%

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Optimized channel coding schemes for a guard period free transmission system

Hueske

Götze

Sinn

2008

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

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Guard periods are widely used to avoid inter block interference in wireless communication systems. The independent processing of each data block enables computational efficient data estimation, however, the necessary insertion of guard periods produces a transmission overhead and reduces the throughput of the respective transmission system. By using overlapping techniques a block-wise data estimation can be realized without using guard periods. With this modification, either the throughput of the system can be increased or the code rate of the forward error correction code can be reduced. Based on the latter option we will propose two optimized channel coding schemes for the overlapping based system. The first uses a reduced code rate while the second exploits the characteristic error distribution of the overlapping based data estimator. The bit error performance of the resulting transmission systems is finally compared to a common cyclic prefix based transmission system.

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Section: Overlapping Data Estimationmentioning

confidence: 86%

Section: Data Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimized channel coding schemes for a guard period free transmission system

Hueske

Götze

Sinn

2008

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…Several types of guard intervals are discussed in the literature. The most popular type of guard interval is the cyclic prefix (CP) [2]- [3]. In CP-OFDM, the guard interval consists of a cyclic extension of the transmitted MC block: the last samples of each MC block are copied and added as a prefix to the MC block.…”

Section: Introductionmentioning

confidence: 99%

“…In CP-OFDM, the guard interval consists of a cyclic extension of the transmitted MC block: the last samples of each MC block are copied and added as a prefix to the MC block. Another guard interval type is zero-padding (ZP) [2]- [3]. In ZP-OFDM, no signal is transmitted during the guard interval.…”

Section: Introductionmentioning

confidence: 99%

Iterative DA/DD Channel Estimation for KSP-OFDM

Welden

Steendam

Moeneclaey

2008

2008 IEEE International Conference on Communications

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In this paper, we propose an iterative joint DA/DD channel estimation algorithm for known symbol padding (KSP) OFDM. The pilot symbols used to estimate the channel are not only located in the guard interval, but also on some of the OFDM carriers. Initially, the channel is estimated using the pilot symbols only. Next, a decision is made with respect to the transmitted data symbols. We consider both hard and soft decision of the data symbols. The decisions on the data symbols are then used to update the channel estimate in a joint DA/DD estimation algorithm. The algorithm iterates between data detection and channel estimation until convergence is reached. At high SNR, the MSE performance of the iterative estimator converges to the MSE performance of the case where all data symbols are prior known at the receiver, i.e. the all pilot DA estimator. It turns out that the MSE performance of hard decision of the data symbols reaches the MSE of the all pilot DA estimator at lower SNR than that of soft decision of the data symbols; this is caused by some approximations needed to simplify the estimation algorithm.

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