Abstract
Channelization has proven to be very successful in digital receivers application, and it is a critical component of reducing the sampling rate process. Compressed sensing has been widely applied to reconstruct sparse signals sampled at sub-Nyquist rate. In this paper, a stable and fast algorithm termed Partial Orthogonal Matching Pursuit (POMP) is proposed for a channelized digital receiver. It is suitable for sparse channels in wide bandwidth. The novel POMP algorithm is analyzed and compared with the conventional channelization method based on polyphase filters, and numerical simulations demonstrate that the POMP detection not only achieves the basic functions of a channelizer, but also outperforms a polyphase channelizer. Moreover, the POMP algorithm is an efficient method to suppress the aliasing and leaking between channels.
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Acknowledgment
This work is supported by the Key Development Program of Basic Research of China (JCKY2013604B001), the National Natural Science Foundation of China (61301095), the Funda-mental Research Funds for the Central Universities (GK2080260148 and HEUCF1508).This paper is funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.We gratefully thank of very useful discussions of reviewers.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xiangjun, W., Zheng, D., Yun, L. (2018). A Novel Channel Extraction Method Based on Partial Orthogonal Matching Pursuit Algorithm. In: Sun, G., Liu, S. (eds) Advanced Hybrid Information Processing. ADHIP 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-73317-3_25
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DOI: https://doi.org/10.1007/978-3-319-73317-3_25
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