Underwater Acoustic Channel Estimation via Basic-CS and Modified-CS using 2-D Frequency Sampling

Kumar, Anand; Kumar, Prashant

doi:10.1109/acts49415.2020.9350467

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…The common assumption from Chen and others [15] explains that lim k!∞ E½sgnðhðkÞÞ ¼ sgnðhðkÞÞ, so (34) can be rewritten as…”

Section: Excess Msementioning

confidence: 99%

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An improved sparsity‐aware normalized least‐mean‐square scheme for underwater communication

Kumar

2022

ETRI Journal

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Underwater communication (UWC) is widely used in coastal surveillance and early warning systems. Precise channel estimation is vital for efficient and reliable UWC. The sparse direct‐adaptive filtering algorithms have become popular in UWC. Herein, we present an improved adaptive convex‐combination method for the identification of sparse structures using a reweighted normalized least‐mean‐square (RNLMS) algorithm. Moreover, to make RNLMS algorithm independent of the reweighted l1‐norm parameter, a modified sparsity‐aware adaptive zero‐attracting RNLMS (AZA‐RNLMS) algorithm is introduced to ensure accurate modeling. In addition, we present a quantitative analysis of this algorithm to evaluate the convergence speed and accuracy. Furthermore, we derive an excess mean‐square‐error expression that proves that the AZA‐RNLMS algorithm performs better for the harsh underwater channel. The measured data from the experimental channel of SPACE08 is used for simulation, and results are presented to verify the performance of the proposed algorithm. The simulation results confirm that the proposed algorithm for underwater channel estimation performs better than the earlier schemes.

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“…The common assumption from Chen and others [15] explains that lim k!∞ E½sgnðhðkÞÞ ¼ sgnðhðkÞÞ, so (34) can be rewritten as…”

Section: Excess Msementioning

confidence: 99%

“…Because of the uncertainty associated with sparsity across the transient delay taps, the direct use of sparse sensing techniques in the shallow‐water domain is very challenging. This is especially true in moderate‐to‐rough seas [34].…”

Section: System Modelmentioning

confidence: 99%

An improved sparsity‐aware normalized least‐mean‐square scheme for underwater communication

Kumar

2022

ETRI Journal

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“…Compressed sensing (CS) is well suited to this type of reconstruction issue due to the sparseness of the UWA multipath channel, which may be exploited by focusing on the CIR. 19 In the present day, the sparse UWA CE utilizing OFDM communication is emphasized. 20 It demonstrates the CS-centric sparse CE methodologies in OFDM.…”

Section: Introductionmentioning

confidence: 99%

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

Kumar

2023

Int J Communication

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Summary In underwater acoustic (UWA) communication, orthogonal frequency division multiplexing (OFDM) is a promising technology that is highly essential to get channel state information meant for channel estimation (CE). Nevertheless, higher complexity, slower convergence, and poor performance, which degrade the performance estimation, are the limitations of the traditional CE methodologies. Thus, by amalgamating the least square (LS)‐CE algorithm along with polynomial interpolated black widow optimization (PI‐BWO) model, an optimized least square sparse (OLSS) CE algorithm has been proposed to intend for a UWA‐OFDM communication system. Formerly, by utilizing the 2's complement shift left turbo encoding (2CSL‐TE) methodology, the input signal is encoded. After that, the modulated encoded signal is provided for inverse fast Fourier transform (IFFT) operations; subsequently, they are transferred over the UWA channel toward the receiver OFDM. By employing the OLSS methodology, the received OFDM signal's interference‐free region is utilized for sparse CE at the receiver. Regarding symbol error rate (SER), bit error rate (BER), mean square error (MSE), and peak signal‐to‐noise ratio (PSNR), the proposed model's experiential outcome is evaluated and analogized with the other prevailing methodologies. When analogized with the conventional models, the proposed estimation methodologies achieved better performance.

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Active realization of series inductor and shunt capacitor and their applications in electronically tunable wave active filters

Kumar

Bhardwaj

et al. 2021

2021 5th International Conference on Computing Methodologies and Communication (ICCMC)

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Underwater Acoustic Channel Estimation via Basic-CS and Modified-CS using 2-D Frequency Sampling

Cited by 5 publications

References 14 publications

An improved sparsity‐aware normalized least‐mean‐square scheme for underwater communication

An improved sparsity‐aware normalized least‐mean‐square scheme for underwater communication

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

Active realization of series inductor and shunt capacitor and their applications in electronically tunable wave active filters

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