DocumentCode
2166854
Title
Long-data DFT and its application in radar reconnaissance receiver
Author
Jing-miao, Zhang ; Shu-fu, Cao ; Shuang-xi, Gao
Author_Institution
Comput. Center, Hebei Univ. of Econ. & Bus., Shijiazhuang
fYear
2008
fDate
2-5 Nov. 2008
Firstpage
1450
Lastpage
1453
Abstract
Limited by the computing speed of FFT (Fast Fourier Transform), Short-data DFT (Discrete Fourier Transform) is often used in radar reconnaissance digital receiver. But for larger N, the number of sample points, is selected, not only windows effect is reduced and frequency resolution is improved, but also export that the frequency domain signal to noise ratio is N times increase of time-domain. So when N is a greater value, using DFT measuring frequency algorithm can detect small signal submerged in the noise. A realization scheme is given based on the big point DFT radar reconnaissance digital receiver, and export the quantitative relationship about sense pulse modulation radar signals. With the development of component technology and improvement of algorithm, long-data DFT has sufficient computing speed now, which provides the probability of its application in digital receiver. Long FFT use generally 2-dimension algorithm and its implementation method on FPGA are also talked about.
Keywords
discrete Fourier transforms; fast Fourier transforms; field programmable gate arrays; pulse modulation; radar receivers; FFT; FPGA; discrete Fourier transform; fast Fourier transform; frequency resolution; long-data DFT; radar reconnaissance digital receiver; sense pulse modulation radar signals; Discrete Fourier transforms; Fast Fourier transforms; Frequency domain analysis; Frequency measurement; Noise measurement; Radar applications; Reconnaissance; Signal resolution; Signal to noise ratio; Time domain analysis; DFT; FFT; digital receiver; signal to noise ratio; windows effect;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2192-3
Electronic_ISBN
978-1-4244-2193-0
Type
conf
DOI
10.1109/ISAPE.2008.4735503
Filename
4735503
Link To Document