DocumentCode :
2699891
Title :
A novel pulse compression scheme based on minimum mean-square error reiteration [radar signal processing]
Author :
Blunt, Shannon D. ; Gerlach, Karl
Author_Institution :
Radar Div., Naval Res. Lab., Washington, DC, USA
fYear :
2003
fDate :
3-5 Sept. 2003
Firstpage :
349
Lastpage :
353
Abstract :
This paper presents an alternative approach to pulse compression that is based upon iterative minimum mean-square error (MMSE) estimation. It is similar to the well known least squares (LS) approach but does not suffer from the adverse effects caused by scatterers closer than some nominal range. This results in a more robust estimate of the radar returns while maintaining nearly the same sidelobe level. Furthermore, the proposed pulse compression scheme is highly parallelizable in range and therefore can be computed efficiently.
Keywords :
least mean squares methods; pulse compression; radar signal processing; iterative MMSE estimation; minimum mean-square error reiteration; pulse compression scheme; radar sidelobe level; radar signal processing; scatterers; short pulse range resolution; Additive noise; Convolution; Digital filters; Filtering; Laboratories; Matched filters; Pulse compression methods; Pulse modulation; Radar scattering; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2003. Proceedings of the International
Print_ISBN :
0-7803-7870-9
Type :
conf
DOI :
10.1109/RADAR.2003.1278765
Filename :
1278765
Link To Document :
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