DocumentCode
2505981
Title
Robust space-time parameters estimation in heavy interference environments
Author
Shahbazi, Nafiseh ; Amindavar, Hamidreza
Author_Institution
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
fYear
2011
fDate
28-30 June 2011
Firstpage
569
Lastpage
572
Abstract
In this paper, we apply a space-time Prony estimation method with wavelet denoising. In addition to denoising property of wavelet transformation, the proposed approach appeals to its decorrelating nature. Our method improves the performance of radar systems with large array antennas, such as OTH radars when the target has low Doppler and angle of arrival in low SINR. We demonstrate that this Prony estimator achieves an acceptable performance in terms of accuracy and resolution in comparison with high resolution algorithms such as MUSIC which are second-order statistics-based in presence of powerful correlated interference. Moreover, we present how to apply STAP technique to parameter estimation of target in multi-path environments causing the cost function determining the target´s Doppler and angle to be nonlinear. Through extensive simulations, we demonstrate that our proposed algorithm outperforms the previously reported estimators with low computational cost.
Keywords
Doppler radar; adaptive antenna arrays; correlation methods; direction-of-arrival estimation; parameter estimation; radar antennas; radar resolution; space-time adaptive processing; wavelet transforms; MUSIC; OTH radar system; Prony estimator; STAP technique; computational cost; correlated interference; cost function; heavy interference environment; high resolution algorithm; large array antenna; multipath environment; nonlinear angle; robust space-time parameter estimation; second-order statistics; space time Prony estimation method; target Doppler; wavelet denoising property; wavelet transformation; Doppler radar; Estimation; Interference; Noise reduction; Signal to noise ratio; Multipath interference; Prony algorithm; Spatio and temporal frequencies; Wavelet Denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location
Nice
ISSN
pending
Print_ISBN
978-1-4577-0569-4
Type
conf
DOI
10.1109/SSP.2011.5967761
Filename
5967761
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