This paper presents the quantitative analysis of signal-to-noise ratio (SNR) for the local polynomial Fourier transform (LPFT) used for application of inverse synthetic aperture radar (ISAR) imaging. The relationship between the LPFT and Wigner-Ville distribution (WVD) is derived and theoretical analysis on the SNR achieved by using the LPFT is given. Comparisons on the SNR performances achieved by using the LPFT, the short-time Fourier transform (STFT) and the Fourier transform (FT) are presented to illustrate the merits of using the LPFT. Measures are also taken to minimize the required computational complexity by reducing the overlap length between adjacent segments of input data. Simulation results of processing radar data show the performance improvements achieved by using the LPFT.
Quantitative SNR Analysis for ISAR Imaging using LPFT
IEEE Transactions on Aerospace and Electronic Systems ; 45 , 3 ; 1241-1248
2009-07-01
1231058 byte
Article (Journal)
Electronic Resource
English
CORRESPONDENCE - Quantitative SNR Analysis for ISAR Imaging using LPFT
Online Contents | 2009
|Moving Target Imaging and Trajectory Computation Using ISAR
Online Contents | 1994
|Hybrid SAR-ISAR imaging of ships
Tema Archive | 1990
|