Underwater network cardinality estimation using cross-correlation: Effect of unequal sensor spacing

Dash, B. K.; Chowdhury, S. A. H.; Kamal, Ahmad; Anower, Md. Shamim; Halder, Amit

doi:10.1109/iwci.2016.7860362

Cited by 3 publications

(1 citation statement)

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“…In TS scheme, three sensors are positioned such that, 𝑑 DBS 12 = 𝑑 DBS 23 = 𝑑 DBS 31 (distance between H3 and H1) = dDBS to form an equilateral triangle, where the centroid of the triangle lies at the sphere centre which can be visualized in Fig1(c). Please note that, it is also possible to perform node estimation with random placement of the sensors and different or unequal spacing between the sensors[41]-[43].…”

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confidence: 99%

Cross-correlation based approach for counting nodes of undersea communications network considering limited bandwidth

Rahman,

Giti,

Chowdhury

et al. 2024

Preprint

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The limited bandwidth (BW) of undersea communication presents a significant challenge to the node counting technique based on cross-correlation (CC), which traditionally use Gaussian signals with infinite BW. To address this, a band-limited Gaussian signal is employed for counting nodes, impacting the cross-correlation function (CCF) and the derived estimation parameters. To correlate the estimation parameters for finite and infinite BW scenarios, a scaling factor (SF) is determined for a specific BW by averaging their ratios across different node counts. Efficient estimation in a band-limited condition is feasible if the SF for that BW is known. Previous investigations have been limited to 5 kHz and 10 kHz BW. Given the typical undersea BW range of 1–15 kHz, it is important to establish a relationship between the SF and BW. This relationship, derived and validated through simulation in this study, allows for determining the SF and achieving accurate node count under any band-limited condition within the 1–15 kHz range.

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confidence: 99%