High resolution cognitive radio-based concatenated spectrum time-of-arrival estimation
This paper proposes high-precision, time-of-arrival (TOA) estimation by concatenating non-contiguous and non-equal white spaces in the spectrum. White spaces are identified and allocated by the capabilities of cognitive radios (CR). A simple radio system that enables sequential concatenation of non-contiguous bands is introduced. The paper aims to design signal-processing techniques for the proposed radio that maintain a TOA performance comparable to that of utilizing a bandwidth equivalent to the addition of all white spaces. This work also investigates two potential high resolutions, TOA estimation architectures that are applicable to CR-based systems. The first approach estimates TOA over each sub-band and then optimally fuses the estimated TOAs. In the second technique, channels estimated over sub-bands are concatenated and a TOA-estimation method is applied to the whole available spectrum. The Cramer-Rao bound (CRB) of the TOA estimation for both approaches is computed. Minimum mean square estimation (MMSE) algorithm is applied to evaluate the performance of the proposed system. Simulations are concluded to study the performance in terms of the variance of error. Moreover, the complexity of the proposed concatenation method is evaluated. © 2012 Springer Science+Business Media New York.
International Journal of Wireless Information Networks
High resolution cognitive radio-based concatenated spectrum time-of-arrival estimation.
International Journal of Wireless Information Networks,
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