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2019 | OriginalPaper | Buchkapitel

Blind Identification of Sparse Multipath Channels Under the Background of Internet of Things

verfasst von : Ying Li, Feng Jin, Qi Liu

Erschienen in: Advanced Hybrid Information Processing

Verlag: Springer International Publishing

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Abstract

To improve the ability of blind identification and scheduling of sparse multipath channels in wireless communication networks under the background of Internet of things, a blind identification algorithm for sparse multipath wireless communication based on random sampling interval equalization and BPSK modulation is proposed. The sparse multipath channel model of wireless communication network under the background of Internet of things is constructed, and the multipath characteristics of sparse multipath channel of wireless communication network are analyzed. The BPSK modulation method is used to filter the inter-symbol interference of sparse multipath channel of wireless communication network. Based on the adaptive random sampling interval equalization technique, blind channel identification is designed, and the tap delay line model is used to suppress the multi-path of sparse multipath channel in wireless communication network. The simulation results show that the blind identification of sparse multipath channels in wireless communication networks is well balanced and the bit error rate (BER) is reduced.

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Metadaten
Titel
Blind Identification of Sparse Multipath Channels Under the Background of Internet of Things
verfasst von
Ying Li
Feng Jin
Qi Liu
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-36405-2_5