Efficient Adaptive Turbo Equalization for Multiple-Input–Multiple-Output Underwater Acoustic Communications

Duan, Wansuo; Tao, Jun; Zheng, Yahong Rosa

doi:10.1109/joe.2017.2707285

Cited by 59 publications

(27 citation statements)

References 21 publications

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“…The chief drawback of traditional DFEs is error propagation of the feedback filter (FBF) when extensive inaccurate hard-decision symbols occurred. A usual efficient methord is exploiting soft-decision feedback equalizer (SDFE) instead of hard-decision one [8]. One another neoteric methord is bidirectional SDFE which accomplishes the target of eliminating error propagation through a normal SDFE and a time-reversed SDFE using virtual time reversal mirror (VTRM) technique [11,13,14].…”

Section: Introductionmentioning

confidence: 99%

Virtual Space-Time Diversity Turbo Equalization for Underwater Acoustic Communications

Han

Jiang

2023

Preprint

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A virtual space-time diversity soft direct-adaptation turbo euqalization (SDATEQ) is proposed for single-input-single-output (SISO) underwater acoustic (UWA) communications based on soft fractionally-spaced decision-feedback equalizer (SFSDFE) and virtual time-reversal mirror (VTRM). The SFSDFE combined with recursive least-squares (RLS) algorithm is employed to achieve virtual space diversity and increases the mutual information (MI) of iterations for faster convergence. Bidirectional structure with VTRM is exploited to mitigate error propagation phenomenon of DFE. An interpolator and digital phase locked loop (DPLL) are embedded into the euqalizer to overcome the residual Doppler frequency shift and recover the timing distortion. Results of simulations and field lake trial show that the proposed algothrim achieves better performance than Soft-DATEQ under the same equalizer order, and the bit error rate (BER) of 1500-m lake trial decreases from 1.50×10 -2 to 2.22×10 -5 .

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Section: Introductionmentioning

confidence: 99%

Virtual Space-Time Diversity Turbo Equalization for Underwater Acoustic Communications

Han

Jiang

2023

Preprint

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“…Gaussian inputs and post-equalization signal to noise ratio (SNR) is proposed as the performance metric for a phase-shift keying (PSK) based adaptive modulation and coding (AMC) system. Recently, for a multiple-input multipleoutput (MIMO) single carrier underwater acoustic communication system, the bit error rate (BER) along with MSE of the estimated symbols are adopted to measure the performance of the system with different Turbo equalization schemes [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of SNR Metrics for a Typical Underwater Acoustic OFDM System

et al. 2019

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Signal to noise ratios (SNRs) are universal metrics for the performance analysis of communication systems. In underwater acoustic orthogonal frequency division multiplexing (OFDM) systems, compared with the time domain input SNR (ISNR), the pilot SNR (PSNR) and effective SNR (ESNR) are demonstrated to be more effective in system performance indication, especially the ESNR. In this paper, for a typical underwater acoustic OFDM system with orthogonal matching pursuit (OMP) based sparse channel estimation, we derive formulas with a closed form for evaluating the ESNR, which avoids the requirement of successful data decoding in conventional ESNR calculation. The derivation is also extended to PSNR easily. We find out that the ESNR is mainly determined by five parameters: the number of deterministic pilots, the number of dominant paths, the inter-carrier interference (ICI), the total channel power and the ISNR; while the PSNR is only determined by the ICI, the total channel power and the ISNR. Simulations and experimental data decoding are carried out to validate the correctness of the theoretical analysis in this paper.INDEX TERMS Underwater acoustic communications, effective signal to noise ratio (ESNR), pilot signal to noise ratio (PSNR), orthogonal frequency division multiplexing (OFDM), orthogonal matching pursuit (OMP).

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“…The Wi-Fi communication throughput and robustness can considerably increase by adding extra antennas at the transmitter along with receiver side. A group of methods collectively known as MIMO communications, [22][23][24][25] is developed in the last few years to obtain the benefit of multidimensional channel. A vital spectral efficiency utilization can be pass through out by utilizing the quality of MIMO channels.…”

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confidence: 99%

Chaotic sequence‐based MC‐CDMA for 5G

raj

Sankaran²,

Nagarajan³

2018

Concurrency and Computation

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Summary A unique chaotic spreading sequence‐based MC‐CDMA (multi‐carrier code division multiple accesses) is studied in this article. By employing this spreading sequence, interference effect that is inherent in a multi‐user environment can be lessened by deciding on the spreading series with suitable cross‐correlation properties. The simulation study exhibits that chaotic sequence‐based MC‐CDMA acts well in a multiuser setting, resulting in better attainable error rates. Moreover, results confirm that chaotic sequence‐based MC‐CDMA beats the Walsh Hadamard code spreading‐based MC CDMA system. The inception of MIMO (Multiple Input Multiple Output) scheme leads to the augment in the number of antennas that are present in the transmitting in addition to receiving side. This induces an enhancement in the throughput and the robustness of the communication system. Further, the simulation outcomes exhibit that the suggested technique is far beneficial in the context of combating MAI (multiple access interference) and aids to achieve performance amelioration concerning the utility of approximately 9%.

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Efficient Adaptive Turbo Equalization for Multiple-Input–Multiple-Output Underwater Acoustic Communications

Cited by 59 publications

References 21 publications

Virtual Space-Time Diversity Turbo Equalization for Underwater Acoustic Communications

Virtual Space-Time Diversity Turbo Equalization for Underwater Acoustic Communications

Analysis of SNR Metrics for a Typical Underwater Acoustic OFDM System

Chaotic sequence‐based MC‐CDMA for 5G

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