Design and performance evaluation of an indoor ranging system using audio chirp and MUSIC algorithms
WSEAS TRANSACTIONS on COMMUNICATIONS
Performance of root-MUSIC on TOA estimation for an indoor spread spectrum ranging system
ICCOM'08 Proceedings of the 12th WSEAS international conference on Communications
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The problem of estimating multiple time delays in presence of colored noise is considered. This problem is first converted to a high-resolution frequency estimation problem. Then, the sample lagged covariance matrices of the resulting signal are computed and studied in terms of their eigenstructure. These matrices are shown to be as effective in extracting bases for the signal and noise subspaces as the standard autocorrelation matrix, which is normally used in MUSIC and the pencil-based methods. Frequency estimators are then derived using these subspaces. The effectiveness of the method is demonstrated on two examples: a standard frequency estimation problem in presence of colored noise and a real-world problem that involves separation of multiple specular components from the acoustic backscattered from an underwater target