DocumentCode :
112497
Title :
A Pulse Compression Waveform for Weather Radars With Solid-State Transmitters
Author :
Chen Pang ; Hoogeboom, Peter ; Le Chevalier, Francois ; Russchenberg, Herman W. J. ; Jian Dong ; Tao Wang ; Xuesong Wang
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Volume :
12
Issue :
10
fYear :
2015
fDate :
Oct. 2015
Firstpage :
2026
Lastpage :
2030
Abstract :
Due to the contradiction between the high sensitivity requirement and low transmission power of weather radars with solid-state transmitters, a pulse compression technique is necessary. For the purpose of range sidelobe suppression, methods based on amplitude modulation and a mismatched filter are commonly used for target detection radars, which are not applicable for weather observations because of its drawbacks such as main lobe expansion and power loss. This letter presents a nonlinear frequency modulation pulse compression waveform to achieve a very low range sidelobe level. A mathematical model for waveform design is established, in which the time-frequency relation is expressed as the combination of a linear function and a sine series. Thus, a set of parameters can fully characterize the time-frequency curve. By using a simulated annealing algorithm, the optimal parameter set can be obtained, which shows that a peak sidelobe level under -60 dB is achievable. Finally, this kind of waveform is implemented on hardware, and its performance is verified.
Keywords :
atmospheric techniques; geophysical signal processing; meteorological radar; object detection; pulse compression; radio transmitters; remote sensing by radar; simulated annealing; time-frequency analysis; amplitude modulation; linear function; lobe expansion; low range sidelobe level; low transmission power; mathematical model; mismatched filter; nonlinear frequency modulation pulse compression waveform technique; optimal parameter set; peak sidelobe level; power loss; range sidelobe suppression; simulated annealing algorithm; sine series; solid-state transmitters; target detection radars; time-frequency curve; time-frequency relation; waveform design; weather observations; weather radars; Amplitude modulation; Doppler effect; Frequency modulation; Meteorological radar; Meteorology; Optimization; Multiobjective optimization; nonlinear frequency modulation (NLFM); pulse compression; range sidelobe level; simulated annealing (SA);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2443551
Filename :
7137618
Link To Document :
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