A Two-Stage Approach for the Estimation of Doubly Spread Acoustic Channels

Qu, Fengzhong; Nie, Xingyang; Xu, Wen

doi:10.1109/joe.2014.2307194

Cited by 55 publications

(27 citation statements)

References 28 publications

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“…The channel estimation performance are shown in Fig.3 and Fig.4 respectively. And we also performed the one-stage approach estimation as demonstrated in [18] for comparison. .…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [18], regarding single-iutput-single-output (SISO) channel, we compared the two-stage approach with one-stage approach, which is a brute force estimation approach that try all possible combinations of ( , ) and choose the one with the best fit. The results showed that the two-stage approach has advantages over the one-stage one in aspects as complexity in realization, accuracy of estimation and communication efficiency, which are more significant in the scenario of MIMO communication.…”

Section: Estimation Of Doubly Spread Acoustic Channelsmentioning

confidence: 99%

“…However, polynomial time-varying channel model, which utilizes the channel representations to accommodate time variations of the channel impulse response (CIR) assuming channel dynamics remain constant within a data block duration, could be used to estimate CIR and then to recover the information symbols in data block [18].…”

Section: Introductionmentioning

confidence: 99%

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A two-stage approach for the estimation of multiple input multiple output acoustic channels

Nie

Wang

et al. 2014

2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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Underwater acoustic communication (UWA) is a reliable way for data transmission in underwater environment, however, it is quite challenging due to its doubly spread characteristics as delay spread and Doppler spread. In this paper, a discrete-time channel input-output relationship for multipleinput-multiple-output (MIMO) single-carrier block transmissions is derived based on parameterization for amplitude and delay variations with polynomial fitting, where the mathematical model is characterized by a few parameter sets, transforming the estimation problem into estimation of the low-dimensional parameter sets. Then a two-stage sparse approach for delay-spread and Doppler-scale estimation of MIMO UWA channel is proposed, using orthogonal matching pursuit (OMP) algorithm to search on the delay-Doppler scale grid. The results of the proposed approach are further evaluated by simulations.

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“…The channel estimation performance are shown in Fig.3 and Fig.4 respectively. And we also performed the one-stage approach estimation as demonstrated in [18] for comparison. .…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Estimation Of Doubly Spread Acoustic Channelsmentioning

confidence: 99%

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A two-stage approach for the estimation of multiple input multiple output acoustic channels

Nie

Wang

et al. 2014

2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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“…Hence only a few channel taps in MSML channel model are nonzero and need to be tracked. As a result, the computational complexity has been reduced and many sparse channel estimation algorithms based on compressed-sensing (CS) have been proposed [7,[10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, some improved algorithms, which focus on adaptively estimating path numbers, like sparsity adaptive matching pursuit (SaMP) [12] and adaptive step size SaMP (AS-SaMP) [13] have been applied to sparse channel estimation. Furthermore, some references propose methods to reduce computation: a two-stage OMP algorithm is proposed by [14], which estimates the Doppler scale factor and time delay respectively, rather than simultaneously as OMP does. However, it requires some preprocessings before channel estimation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for the Estimation of Doubly Spread Acoustic Channels Based on Wavelet Transform

Zhang

Song

et al. 2018

Applied Sciences

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Abstract:In this paper, the estimation of doubly spread underwater acoustic (UWA) channels is investigated. The UWA channels are characterized by severe delay spread and significant Doppler effects, and can be well modeled as a multi-scale multi-lag (MSML) channel. Furthermore, exploiting the sparsity of UWA channels, MSML channel estimation can be transformed into the estimation of parameter sets (amplitude, Doppler scale factor, time delay). Based on this, the orthogonal matching pursuit (OMP) algorithm has been widely used. However, the estimation accuracy of OMP depends on the size of the dictionary, which is related with both delay spread and Doppler spread. Thus it requires high computational complexity. This paper proposes a new method, called wavelet transform (WT) based algorithm, for the UWA channel estimation. Different from OMP algorithm which needs to search in both time domain and Doppler domain, WT-based algorithm only needs to search in time domain by using the Doppler invariant characteristic of hyperbolic frequency modulation (HFM) signal. The performance of the proposed algorithm is evaluated by computer simulations based on BELLHOP. The simulation results show that WT-based algorithm performs slightly better than OMP algorithm in low signal to noise ratio (SNR) while can greatly reduce computational complexity.

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Artificial Fish Swarm Algorithm-Based Sparse System Estimation

Zhang

Bei

et al. 2021

Simulation Tools and Techniques

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A Two-Stage Approach for the Estimation of Doubly Spread Acoustic Channels

Cited by 55 publications

References 28 publications

A two-stage approach for the estimation of multiple input multiple output acoustic channels

A two-stage approach for the estimation of multiple input multiple output acoustic channels

A Novel Approach for the Estimation of Doubly Spread Acoustic Channels Based on Wavelet Transform

Artificial Fish Swarm Algorithm-Based Sparse System Estimation

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