An adaptive waveform design method for OFDM cognitive radar

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.

[1]  Zhou Jianjiang Method of scattering center extraction based on GTD model , 2008 .

[2]  Shaghayegh Kafshgari,et al.  Fluctuating target detection in presence of non Gaussian clutter in OFDM radars , 2013 .

[3]  Liu Dong-hong Extraction of UWB radar target feature based on ESPRIT matrix pencil algorithm , 2006 .

[4]  P. van Genderen,et al.  Wideband OFDM pulse burst and its capabilities for the Doppler processing in radar , 2008, 2008 International Conference on Radar.

[5]  S. Haykin,et al.  Cognitive radar: a way of the future , 2006, IEEE Signal Processing Magazine.

[6]  Arye Nehorai,et al.  Target Detection in Clutter Using Adaptive OFDM Radar , 2009, IEEE Signal Processing Letters.

[7]  Simon Haykin,et al.  Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering , 2012, Proceedings of the IEEE.

[8]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[9]  S.U. Pillai,et al.  Waveform design optimization using bandwidth and energy considerations , 2008, 2008 IEEE Radar Conference.

[10]  Arye Nehorai,et al.  Adaptive Design of OFDM Radar Signal With Improved Wideband Ambiguity Function , 2010, IEEE Transactions on Signal Processing.

[11]  Gongguo Tang,et al.  Multiobjective Optimization of OFDM Radar Waveform for Target Detection , 2011, IEEE Transactions on Signal Processing.

[12]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[13]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..