Abstract
This paper addresses the spectrum efficiency study of nested sparse sampling in the estimation of power spectral density for QPSK signal. The authors proposed nested sampling only showed that this new sub-Nyquist sampling algorithm could achieve enhanced degrees of freedom, but did not consider its spectrum efficiency performance. Spectral efficiency describes the ability of a communication system to accommodate data within a limited bandwidth. In this paper, we provide the procedures of using nested sampling structure to estimate the QPSK signal’s autocorrelation and power spectral density (PSD) using a set of sparse samples. From our simulation results, we show that by making N 1 and N 2 large enough, the main lobe of PSD obtained from nested sparse sampling is much narrower than the original QPSK signal. That is, the bandwidth B occupancy of the sampled signal is smaller, which improves the spectrum efficiency. Besides the smaller average rate, the enhanced spectrum efficiency is a new advantage of nested sparse sampling.
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Chen, J., Liang, Q., Wang, J., Choi, HA. (2012). Spectrum Efficiency of Nested Sparse Sampling. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_50
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DOI: https://doi.org/10.1007/978-3-642-31869-6_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31868-9
Online ISBN: 978-3-642-31869-6
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