DocumentCode
2980497
Title
Design of modified spectrum filter based on Mismatched Window for NLFM signal
Author
Feng, Luo ; Liting, Ruan ; Shunjun, Wu ; Qiansheng, Zhao ; Zhiqiang, Zhang
Author_Institution
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
fYear
2009
fDate
26-30 Oct. 2009
Firstpage
274
Lastpage
277
Abstract
In the radar field, Non-Linear Frequency Modulation (NLFM) signals are widely used. The conventional design method of side-lobe suppression filter for NLFM signal is based on the principle of stationary phase with the window functions and the modified spectrum algorithm. A new filtering technique of Modified Spectrum Filter based on Mismatched Window (MSFMW) algorithm is proposed in this paper. This method respectively designs the NLFM signal and the pulse compression filter based on different window functions. So the spectrum magnitude of the filtered waveform is proportional to the window function which is different from the one used for waveform design. The performance of the pulse compression can be modified by the different window functions. The simulation results demonstrate that the Ratio of Main-lobe peak to Side-lobe peak (RMS) can be increased by 0.8 ~ 7.7dB, without changing the main-lobe width.
Keywords
FM radar; pulse compression; NLFM signal; main-lobe peak to side-lobe peak; main-lobe width; mismatched window algorithm; modified spectrum filter; nonlinear frequency modulation; pulse compression filter; side-lobe suppression filter; spectrum magnitude; window functions; Design methodology; Filtering; Frequency modulation; Matched filters; Pulse compression methods; Radar signal processing; Signal design; Signal processing; Signal processing algorithms; Signal to noise ratio; Mismatching Window Function; Modified Spectrum Filter; Non-Linear Frequency Modulation; Pulse Compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location
Xian, Shanxi
Print_ISBN
978-1-4244-2731-4
Electronic_ISBN
978-1-4244-2732-1
Type
conf
DOI
10.1109/APSAR.2009.5374149
Filename
5374149
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