Robust MIMO Underwater Acoustic Communications Using Turbo Block Decision-Feedback Equalization

Tao, Jun; Zheng, Yu; Xiao, Chengshan; Yang, T. C.

doi:10.1109/joe.2010.2077831

Cited by 83 publications

(54 citation statements)

References 31 publications

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“…ISI가 발생할 경우 통신신호의 전송 출력을 높이더 라도 수신된 신호의 간섭성분의 전력 또한 높아져 서 SINR이 신호 대 간섭비 (SIR, signal-to-interference ratio)로 수렴하므로 비트 오류율 향상에 한계를 유발 한다 [14] . 수중음향채널에서 이러한 ISI를 제거하기 위한 방법으로 적응형 선형 등화와 결정궤환 등화 방법이 제안되었다 [4][5][6][7][8][9][10][11][12][13] . 선형 등화 방법은 선형 등화 필터를 이용하며 연산량이 적고 주로 ISI의 감소 효 과를 얻을 수 있다 [6,9,11,12] .…”

Section: 기존의 적응형 등화기법unclassified

“…선형 등화 방법은 선형 등화 필터를 이용하며 연산량이 적고 주로 ISI의 감소 효 과를 얻을 수 있다 [6,9,11,12] . 그리고 결정궤환 등화 방 법은 궤환 탭을 갖는 필터를 이용하며 연산량은 상 대적으로 많지만 ISI를 효과적으로 제거할 수 있다 [4,5,7,8,10,13] . …”

Section: 기존의 적응형 등화기법unclassified

“…특히 ISI가 발생할 경우 전송신호의 출력을 높이더라도 간섭성분의 전력이 함께 증가하기 때문에 신호 대 간섭잡음비 (SINR, signal-to-interference plus noise ratio)가 향상되 지 않아 비트 오류율 감소에 한계가 생기게 된다 [3] . 이러한 수중음향채널의 영향을 보상하기 위한 방법 으로 여러 적응형 등화 기법이 제안되었다 [4][5][6][7][8][9][10][11] . 적응 형 등화기법에는 적응형 알고리즘과 결합된 선형 등 화와 결정궤환 등화기법이 사용될 수 있는데 선형 등화기법은 횡단선 등화기와 같은 선형 필터를 이용 하여 채널을 보상하는 방법으로 구조가 간단하다는 장점이 있으나 필터 계수를 산출하는 알고리즘에 따 라 잡음에 의한 영향이 커지거나 잔여 ISI가 남는 단 점이 있다 [12] .…”

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Equalizer Mode Selection Method for Improving Bit Error Performance of Underwater Acoustic Communication Systems

Kim¹,

Seo²,

Kim³

et al. 2012

The Journal of the Acoustical Society of Korea

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ABSTRACT:The linear and decision-feedback equalization can mitigate time-varying intersymbol interference (ISI) caused by time-varying multipath propagation for underwater acoustic channels. The perfect elimination of interference components, however, is difficult using the linear equalization and the decision feedback equalizer has an error propagation problem. To overcome these shortcomings, this paper proposes an equalizer mode selection method using training sequences. The proposed method selects an equalization mode corresponding to the signal-to-noise ratio (SNR). If the SNR is low, the proposed system operates the linear equalizer for preventing the error propagation and if the SNR is high, the decision feedback equalizer for eliminating the residual ISI. Therefore, the proposed method can improve the error performance compared to the conventional equalizers. The computer simulation shows the proposed method improves the bit error performance using practical underwater channels responses acquired from the sea experiment.

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Section: 기존의 적응형 등화기법unclassified

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Equalizer Mode Selection Method for Improving Bit Error Performance of Underwater Acoustic Communication Systems

Kim¹,

Seo²,

Kim³

et al. 2012

The Journal of the Acoustical Society of Korea

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“…Most of the current single-carrier coherent UWA communication receivers are evolved from the receiver proposed by Stojanovic and Proakis. Generally speaking, a lot of work has been done to improve the performance of the UWA coherent receivers, such as improving the adaptive DFE algorithm [4][5][6], adding pre-processing technique [7,8], applying array processing technique [9][10][11][12], and channel coding technique [13][14][15][16]. Even if a lot of researchers, such as Freitag and Stojanovie [17] and Blackmon and Canto [18] have done a lot of work to improve the performance of the adaptive DFE algorithms in the receiver, the computing complexity is the main obstacle for hardware implementation.…”

Section: Introductionmentioning

confidence: 99%

Single‐carrier underwater acoustic communication combined with channel shortening and dichotomous coordinate descent recursive least squares with variable forgetting factor

Zhang

Sun

et al. 2015

IET Communications

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In this study, the authors propose a novel decision feedback equaliser (DFE)-based receiver, which combines channel shortening methods and dichotomous coordinate descent (DCD) recursive least squares (RLS) adaptive algorithm with variable forgetting factor (VFF). The proposed receiver can obtain its performance gain via two aspects: (i) reducing the computing complexity by channel shortening method, such as passive time reversal (pTR) filter or minimised mean-square error (MMSE) filter and (ii) improving the performance of the receiver, such as a lower bit error rate and mean-square error. Underwater acoustic (UWA) channel has the features of long multi-path spread and time-varying property. When the multi-path spread is very long, pTR or MMSE filter is used as a channel shortening pre-processing method to reduce the computing complexity in the DFE receiver. When the channel is time varying, VFF is incorporated into DCD-RLS adaptive algorithm to improve the tracking capability of the DFE receiver. The proposed receiver is appealing for practical implementations. Numerical examples and lake experimental results show that, the proposed DFE receiver can achieve a better performance in the UWA communication system.

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“…Besides, UWA channels are often time-varying due to motion of transceiver platforms and fluctuation of propagation medium [7], which leads to Doppler spreading [8]. Recently, multiple-inputmultiple-output (MIMO) techniques have been actively pursued in UWA communications to increase data rate over the bandwidth-limited channels [9], [10], which is a focus in current UWA communication research. The aforementioned characteristics leaving UWA channels one of the most diffcult communication channels today, and their estimation is considered as an especially chanllenging task [11].…”

Section: Introductionmentioning

confidence: 99%

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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Robust MIMO Underwater Acoustic Communications Using Turbo Block Decision-Feedback Equalization

Cited by 83 publications

References 31 publications

Equalizer Mode Selection Method for Improving Bit Error Performance of Underwater Acoustic Communication Systems

Equalizer Mode Selection Method for Improving Bit Error Performance of Underwater Acoustic Communication Systems

Single‐carrier underwater acoustic communication combined with channel shortening and dichotomous coordinate descent recursive least squares with variable forgetting factor

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

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