Title :
Weight windows — An improved approach
Author :
Cohen, Israel ; Levanon, Nadav
Author_Institution :
Dept. of Electr. Eng. - Syst., Tel Aviv Univ., Bnei Brak, Israel
Abstract :
Weight windows are an important part of spectral analysis, especially in radar Doppler processing. Presently their study is in a stalemate, accepting the present tradeoff between mainlobe width and sidelobes attenuation as a fait accompli. An exception is Stankwitz et. al. Apodization technique for sidelobe reduction in SAR images. Our paper suggests an improved approach to windowing with performances expected from “Tri-Apodization” but with computational complexity of “Dual Apodization”. The new approach achieves smaller SNR loss than a single low-sidelobes window. Basically the processor performs two FFTs following different windows and chooses the minimum at each output element. The predicted improved performances are confirmed by results from measured radar data.
Keywords :
Doppler radar; computational complexity; fast Fourier transforms; radar imaging; spectral analysis; synthetic aperture radar; FFT; SAR image; SNR loss; computational complexity; dual apodization; fast Fourier transform; mainlobe width; radar Doppler processing; sidelobe attenuation; sidelobe reduction; signal-to-noise ratio; spectral analysis; synthetic aperture radar; triapodization technique; weight windows; Doppler effect; Doppler radar; Radar tracking; Reflection; Signal to noise ratio; Wheels; Dolph-Chebyshev; Doppler response; FFT; Hamming; Weight windows; radar; sidelobe reduction;
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4799-5987-7
DOI :
10.1109/EEEI.2014.7005852