DocumentCode :
3577789
Title :
An adaptive waveform design method for OFDM cognitive radar
Author :
Kai Huo ; Zhaokun Qiu ; Yongxiang Liu ; Weidong Jiang
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
With fixed emitted waveforms, traditional radars could not achieve optimal performance when the target and environment change. Cognitive radar can apperceive changing information outside, feed back to the transmitter intelligently, and then adjust waveforms to achieve better performance. Therefore, cognitive radar can fit the fast changing environment of modern battlefield better than the traditional radar. The advantage of OFDM signals for cognitive radar is analyzed in this paper firstly. And then, a new architecture of OFDM cognitive radar is proposed. The crucial component - adaptive waveform design for the OFDM cognitive radar is addressed to solve the key problem of “learning” and “feedback” in cognitive radar. The main idea is to establish the “estimation-optimization” mechanism to handle the changing of the target and the surrounding environment. Simulation results demonstrate that the performance of OFDM cognitive radar is better than that of traditional radar.
Keywords :
OFDM modulation; adaptive signal processing; estimation theory; optimisation; radar transmitters; OFDM cognitive radar; OFDM signal; adaptive waveform design method; estimation-optimization mechanism; radar transmitter; Clutter; Doppler radar; OFDM; Optimized production technology; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (Radar), 2014 International
Type :
conf
DOI :
10.1109/RADAR.2014.7060443
Filename :
7060443
Link To Document :
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