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Compressed sensing (CS) theory provides a new solution for the possibility of using impulse radio ultra-wideband (IR-UWB) for high-precision time of arrival (TOA) estimation. Because of the sparsity of IR-UWB signals, the CS theory enables the reconstruction of signals from a small set of random measurements at a sub-Nyquist rate. In current studies involving CS-based sampling architectures, the quantization...
Traditionally, high-precision TOA estimation for IR-UWB ranging relies on extremely high-rate sampling, which is difficult to implement with low-cost. In this paper, by introducing the newly emerging compressed sensing (CS) theory to the design of IR-UWB ranging system, low-rate sampling based high-precision TOA estimation is realized. The matching-pursuit search-back (MP-SB) algorithm for TOA estimation...
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