Iterative estimation of doubly selective underwater acoustic channel using basis expansion models

Yu, Hua; Song, Aijun; Badiey, Mohsen; Chen, Fangjiong; Ji, Fei

doi:10.1016/j.adhoc.2015.01.016

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…In this section, we consider an OFDM system with 4-QAM modulation in the UWA channel simulator of [7,21]. The number of subcarriers is set to be N = 1024, N CP = 256, and the bandwidth of the UWA channel is 10kHz at the center frequency of 15kHz.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…Since it is shown in [6, Fig. 10] by the UWA experiment that the ICI between two subcarriers decreases rapidly as their separation increases and the ICI power mainly centers on the two closest subcarriers, G can be well approximated as a banded matrix G [7], as illustrated in Fig. 1.…”

Section: Banded Structure Of the Fcmmentioning

confidence: 99%

“…It becomes impractical for OFDM UWA communications in which N is usually very large, e.g., N = 1024, due to the large delay spread. Recently, by virtue of the property that in UWA channels the ICI mainly concentrates on the neighboring subcarriers [6,7,8], and the frequency-domain channel matrix (FCM) can be approximated as a banded matrix, serial equalizers of lower complexity are proposed in [9,10,11]. Those equalizers are designed based on the MMSE criterion, which intends to minimize the mean square error (MSE) between the equalizer output and the target signal.…”

Section: Introductionmentioning

confidence: 99%

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Low-complexity minimum-SER channel equalization for OFDM underwater acoustic communications

Zheng

Chen

Wen

et al. 2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Orthogonal frequency division multiplexing (OFDM) is promising for underwater acoustic (UWA) communications as it is robust against large delay spread. However, OFD-M suffers from intercarrier interference (ICI) caused by the serious Doppler effect in UWA channels. Attentive to the property that the ICI is mainly contributed by the adjacent subcarriers in UWA channels, in this paper, we propose a novel low-complexity frequency-domain equalizer to combat the ICI for OFDM UWA communications. Specifically, the coefficients of the equalizer are obtained by using the normalized gradient algorithm which is based on the minimum symbol error rate (MSER) criterion. The proposed equalizer uses very few (typical 3) FIR taps to mitigate the ICI for each subchannel, yet achieves better SER performance than the conventional equalizer based on the minimum mean square error (MMSE) criterion.Index Terms-Minimum-symbol-error rate, intercarrier interference (ICI), orthogonal frequency division multiplexing (OFDM), underwater acoustic communications. 978-1-4673-6997-8/15/$31.00

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Banded Structure Of the Fcmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Low-complexity minimum-SER channel equalization for OFDM underwater acoustic communications

Zheng

Chen

Wen

et al. 2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…23,24 As the Delay-Doppler spread function is capable of converting the time varying sparse structure at time domain into a more stable Delay-Doppler representation, 25 channel estimation approaches based on the Delay-Doppler spread function are attractive for estimating rapidly time varying channels. Previous investigations that addressed the optimization of Delay-Doppler channel model with OMP algorithm 25 or basis expansion models 26 have been reported. However, as the whole channel response needs to be formulated with the Delay-Doppler model, for channels with large delay spread, this type of estimation algorithm will suffer from huge computational complexity in order to resolve the sparse solution over an extremely large two-dimensional searching space.…”

Section: Introductionmentioning

confidence: 99%

Exploiting time varying sparsity for underwater acoustic communication via dynamic compressed sensing

Jiang

Zheng

Zhou

et al. 2018

The Journal of the Acoustical Society of America

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While it has been recognized that the multipath structure of the underwater acoustic (UWA) channel offers the potential for compressed sensing (CS) sparsity exploitation, the rapidly time varying arrivals induced by highly dynamic surfaces unfortunately pose significant difficulties to channel estimation. From the viewpoint of underwater acoustic propagation, with the exception of the highly time varying arrivals caused by dynamic surface, generally there exist relatively stationary or slowly changing arrivals caused by direct path or bottom reflection, which imply the adoption of a discriminate estimation method to handle sparse components with different time variation scale. By modeling the time varying UWA channels as a sparse set consisting of constant and timevarying supports, in this paper, estimation of time varying UWA channel is transformed into a problem of dynamic compressed sensing sparse recovery. The combination of a Kalman filter and compressed sensing is adopted to pursue the solution of it. Numerical simulations demonstrate the superiority of the proposed algorithm. In the form of a channel-estimation-based decision-feedback equalizer, the experimental results with the field data obtained in a shallow water acoustic communication experiment indicate that the proposed dynamic compressed sensing algorithm outperforms classic algorithms as well as CS algorithms.

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Time reversal communication using vertical particle velocity and pressure signals in shallow water

Kim

Jung

et al. 2019

Ad Hoc Networks

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Iterative estimation of doubly selective underwater acoustic channel using basis expansion models

Cited by 9 publications

References 24 publications

Low-complexity minimum-SER channel equalization for OFDM underwater acoustic communications

Low-complexity minimum-SER channel equalization for OFDM underwater acoustic communications

Exploiting time varying sparsity for underwater acoustic communication via dynamic compressed sensing

Time reversal communication using vertical particle velocity and pressure signals in shallow water

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