TOA Estimation Using ESPRIT Algorithm
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The ESPRIT algorithm provides an effective method for Time of Arrival (TOA) estimation that can be applied to wireless sensor network node localization. This approach utilizes time difference measurements between sensor network nodes, where position estimation is achieved by computing arrival time information from multiple nodes. The algorithm implementation typically involves constructing a signal subspace matrix from received signal data, performing eigenvalue decomposition to identify signal and noise subspaces, and exploiting rotational invariance properties between subarrays to estimate precise time delays. Key computational steps include covariance matrix calculation, matrix pencil operations, and phase extraction for TOA determination, making it particularly suitable for scenarios requiring high-resolution time delay estimation with limited computational resources in sensor networks.
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