DocumentCode
1852899
Title
Application of velocity super-resolution algorithm to lost target velocity spectrum reconstruction
Author
Xia Tian ; Shen Yiying ; Hou Yuguan ; Hou Chengyu
Author_Institution
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Volume
3
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1741
Lastpage
1745
Abstract
In the case of low elevation angle incidence, the ground reflection path influences the target´s SNR and makes it fluctuate acutely, sometimes leading to the loss of the target traced by UHF radar. Combined with MUSIC algorithm, the conventional Toeplitz construction method is modified properly to realize the targets´ signal detection and high-resolution spectrum estimation in velocity-dimension. In order to reduce the impact of multi-path effect, the correlation analysis based on Fourier Transform is adopted. This method can be used to separate the signal eigen subspace and the noise one by the distance relationship of eigen frequency. It can improve detection of targets and velocity resolution in lower SNR case. Both simulation and the actual data testify the validity of this method.
Keywords
Fourier transforms; correlation methods; object detection; radar detection; radar resolution; signal detection; signal reconstruction; Fourier transform-based correlation analysis; MUSIC algorithm; SNR; UHF radar; conventional Toeplitz construction method; data testification; ground reflection path; high-resolution spectrum estimation; lost target velocity spectrum reconstruction; low elevation angle incidence; multipath effect; signal eigen subspace; target detection; target signal detection; velocity resolution; velocity super-resolution algorithm; velocity-dimension; Toeplitz; UHF radar; correlation analysis; velocity spectrum estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491917
Filename
6491917
Link To Document