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Table 1.

Recent studies covering the advancements and key developments in ISAC systems.

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Table 1 Expand

Table 2.

Comparative study of AI-based ISAC models and hybrid OTFS-based detection.

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Table 2 Expand

Fig 1.

System model integrating sensing and communication.

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Fig 1 Expand

Table 3.

Considered parameters for the simulation.

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Table 3 Expand

Fig 2.

MSE performance of DOA estimation as a function of number of samples (L) for different M and SNR.

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Fig 3.

Variation of MSE of TDOA estimation for different noise standard deviation under different M.

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Fig 3 Expand

Table 4.

Localization RMSE (m) for different values of and for varied M.

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Fig 4.

Variation of PD with SNR for different M and L using Swerling model-1.

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Fig 5.

Probability of detection versus SNR with Swerling model-2 for different (M) and (L).

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Table 5.

Comparison of proposed approach with existing baseline approaches for localization RMSE.

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Table 5 Expand

Table 6.

Comparison of proposed approach with existing baseline approaches for probability of detection PD.

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Table 6 Expand