Iterative BEM channel estimation and BP detection for ICI cancellation in DVB systems with very high mobility

Martinez, Lorena; Ochandiano, Pello; Sobrón, Iker; Mendicute, Mikel

doi:10.1109/bmsb.2012.6264248

Cited by 2 publications

(4 citation statements)

References 19 publications

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“…An effective method to reduce the complexity of channel estimation is to introduce basis expansion model (BEM) [25]- [28]. Based on BEM, some effective channel estimation algorithms have been reported [27]- [36], [49]. In [26], several estimators were presented, including linear minimum mean square (LMMSE) estimator, least squares estimator and the best linear unbiased estimator (BLUE).…”

Section: A Related Workmentioning

confidence: 99%

“…By utilizing the soft data information from decoder, the channel estimation becomes more accurate than that only use the pilot signals. In [36], more efficient belief propagation (BP) algorithm was utilized as the channel estimator in the turbo iterative approach. However, the complexity of BP is still high, since the factor graph constructed based on BEM is usually very dense.…”

Section: A Related Workmentioning

confidence: 99%

“…In the literature, the combination of AMP and BEM for channel estimation in OFDM-IM has not been reported. Motivated by the good signal recovery performance and computationally efficient implementation of damped AMP and VAMP for general measurement matrix, in this paper, we propose to extend our early work in [38] to turbo receiver [35], [36] consisting of channel estimator, data detector, and channel decoder. Specifically, damped AMP and VAMP are taken as either channel estimation or data detection.…”

Section: B Our Contributionsmentioning

confidence: 99%

“…Here ρ = 1 is used in the first global iteration. 3: Denoising step: (15) and (16) in [38] for the first global iteration, and (35) and (36) for the subsequent iterations, respectively. 4: Set k ← k + 1 and proceed to step 2) until k >…”

Section: ) Amp-based Detectormentioning

confidence: 99%

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Approximate Message Passing-Aided Iterative Channel Estimation and Data Detection of OFDM-IM in Doubly Selective Channels

Zheng

2019

IEEE Access

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The channel estimation and data detection of orthogonal frequency-division multiplexing with index modulation in doubly selective channels is a challenging problem due to the large number of channel parameters and the severe inter-carrier interference. In this paper, an iterative channel estimation and data detection scheme is proposed with the aid of the recent compressed sensing algorithm of approximate message passing (AMP). The time-varying channel is first approximated by basis expansion model (BEM) to reduce the number of channel parameters to be estimated, and AMP is utilized to estimate the BEM coefficients based on the pilot signals and soft information of data from the decoder. The channel is then reconstructed from the estimated BEM coefficients, and AMP is also employed to recover the transmit data based on the estimated channel and soft information of data from the decoder. The soft information of AMP detector is further sent to the decoder, which feeds soft information to both AMP estimator and AMP detector. To address the undesired measurement matrix in both channel estimation and data detection, two variants of AMP, i.e., damped AMP and vector AMP (VAMP), are utilized as practical estimator and/or detector here. Moreover, in both damped AMP/VAMP estimator and detector, the efficient utilization of soft data information is presented. Finally, simulation results are given to verify the performance of the proposed receiver. INDEX TERMS OFDM, index modulation, approximate message passing, doubly selective channel, basis expansion model, pilot-assisted estimation, turbo receiver.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: B Our Contributionsmentioning

confidence: 99%

Section: ) Amp-based Detectormentioning

confidence: 99%

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Approximate Message Passing-Aided Iterative Channel Estimation and Data Detection of OFDM-IM in Doubly Selective Channels

Zheng

2019

IEEE Access

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Iterative channel estimation and pilot design rules for high‐mobility comb‐pilot OFDM system

Chen

Jiang

et al. 2019

Int J Communication

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SummaryWith wireless communications in high‐mobility environment becoming popular, this poses a big challenge for communication systems based on the comb‐pilot OFDM, such as IEEE 802.11p, since it has not the enough pilots to estimate the time‐ and frequency‐selective channel accurately. In this paper, several comb‐pilot schemes and three comb‐pilot design rules are proposed to meet the Nyquist criterion for sampling the vehicle‐to‐vehicle (V2V) channel and the requirements of second‐order statistic of V2V channel. Based on the proposed pilot schemes, an iterative channel estimation method from the CE‐BEM model is proposed, together with three ICI cancellation methods. After thorough simulation, the effectiveness of the comb‐pilot design rules, the proposed channel estimation method, and intercarrier interference (ICI) cancellation methods is verified. Compared with other channel estimation methods, the proposed method performs better. The simulation results also reveal that the channel order L+1 has a great impact on the performance of the comb‐pilot OFDM system.

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Iterative BEM channel estimation and BP detection for ICI cancellation in DVB systems with very high mobility

Cited by 2 publications

References 19 publications

Approximate Message Passing-Aided Iterative Channel Estimation and Data Detection of OFDM-IM in Doubly Selective Channels

Approximate Message Passing-Aided Iterative Channel Estimation and Data Detection of OFDM-IM in Doubly Selective Channels

Iterative channel estimation and pilot design rules for high‐mobility comb‐pilot OFDM system

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