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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

24.05.2017

Multicomponent Chirp Signal Detection Based on Discrete Chirp-Fourier Transform

verfasst von: Junfang Li, Bingbing Li, Zixun Guo, Mingqian Liu, Yongming Guo

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

This paper investigates the signal detection of multiple chirps based on the discrete chirp-Fourier transform (DCFT). The detection method based on signal energy is proposed and the detection performance is analyzed. Firstly, the relationship of signal energy in both the time and DCFT domain is analyzed. An important property is presented, that is, the total energy of the signal in the time domain is equal to the sum of energy along the direction of constant frequency in the DCFT domain. The detection decision threshold of the multicomponent chirp signal is derived in ideal noiseless environment. Secondly, by analyzing the characters of the additive independent identical distribution Gaussian white noise in the DCFT domain, the modified detection decision threshold of the multicomponent chirp signal is determined in noisy environment. Finally, the simulation results show the effectiveness of the proposed method.
Vorheriger Artikel QoS Improved Energy Efficient Cooperative Relaying in Heterogeneous Networks Using Heterogeneous Relays
Nächster Artikel A Load-Balanced Multicast Routing Algorithm Using Diversity Rate in CWMNs

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Metadaten
Titel
Multicomponent Chirp Signal Detection Based on Discrete Chirp-Fourier Transform
verfasst von
Junfang Li
Bingbing Li
Zixun Guo
Mingqian Liu
Yongming Guo
Publikationsdatum
24.05.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4392-z

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