Paper Info
Title
Uwb Signal Detection Based On Wavelet Packet And Fhn Model
Abstract
In UWB-IR signal detection, the threshold of signal to noise ratio(SNR) limit the performance of FHN model detection method, from this point, wavelet packet is introduced into FHN model, a novel UWB-IR signal detection method based on wavelet packet and FHN model is proposed, in addition, the disadvantages of traditional single threshold wavelet packet is analyzed, combined with the new piecewise threshold wavelet packet and FHN model to detect UWB-IR signal. Furthermore, the performance of the proposed algorithm is simulated and analyzed. Simulation results shows that the proposed algorithm overcome the SNR threshold of FHN model detection method, the detection performance of FHN model is improved. Therefore, the UWB-IR signal can be detected effectively under strong noise.
Year
DOI
Venue
2017
10.2991/ijndc.2017.5.2.4
INTERNATIONAL JOURNAL OF NETWORKED AND DISTRIBUTED COMPUTING
Keywords
DocType
Volume
ultra wideband, signal detection, wavelet packet, FHN, stochastic resonance, piecewise threshold
Journal
5
Issue
ISSN
Citations 
2
2211-7938
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Bowen Chen1338.73
Lei Jiang234.13
Qun Zhang301.69