Title
Coherently Distributed Wideband LFM Source Localization
Abstract
In this letter, novel models of coherently distributed wideband sources in both time domain and fractional Fourier domain are proposed. For wideband linear frequency-modulated (LFM) source, the one-to-one relationship between the location vector in the Dechirping domain and the spatial parameters is given. Then, the Multiple Signal Classification (MUSIC) type algorithm for distributed narrowband source localization is exploited to estimate the central angle and the extension width of multiple distributed LFM sources in the Dechirping domain. The simulations demonstrate the proposed algorithm can determine the number of incident sources which in this algorithm is allowed to exceed the number of sensors in the array and obtain high performance in location position accuracy and anti-noise property.
Year
DOI
Venue
2015
10.1109/LSP.2014.2363843
IEEE Signal Process. Lett.
Keywords
Field
DocType
fourier transforms,localization,time domain,distributed wideband lfm source localization,distributed source,frequency modulation,music,fractional fourier domain,array signal processing,linear frequency modulation,chirp modulation,signal classification,fractional fourier transform,dechirping domain,multiple signal classification,linear frequency-modulated signal,distributed narrowband source localization,location position accuracy,noise,vectors,time frequency analysis,sensors
Position (vector),Fourier transform,Artificial intelligence,Time domain,Frequency domain,Wideband,Narrowband,Pattern recognition,Central angle,Algorithm,Speech recognition,Time–frequency analysis,Mathematics
Journal
Volume
Issue
ISSN
22
4
1070-9908
Citations 
PageRank 
References 
4
0.42
7
Authors
3
Name
Order
Citations
PageRank
Jiexiao Yu1223.15
Liang Zhang261.18
Kaihua Liu39011.16