Future complex heterogeneous multi-illuminator compatible oriented broadband cognitive passive radar

Passive radar has recently received attention due to its advantages like low cost, covert operation, and difficulty of jamming. With cognition ability added in, passive radar's performance can improve for its adaptability to the environment. In this paper, multi-illuminator compatible cognitive passive radar, which aims at future complex electromagnetic environment and best potential illuminators selection, was proposed and well designed. The new structure improves robustness and adaptability compared to the single-scheme passive radar system. The proposed novel cognitive passive radar architecture provides a guideline on where and how to carry out further research on dealing with the complex and heterogeneous problem of future sources of opportunity.

[1]  D.K.P. Tan,et al.  Air target detection and tracking using a multi-channel GSM based passive radar , 2007, 2007 International Waveform Diversity and Design Conference.

[2]  P. E. Howland,et al.  FM radio based bistatic radar , 2005 .

[3]  Yilong Lu,et al.  Evaluation of WiMAX transmissions for passive radar applications , 2010 .

[4]  R. Saini,et al.  DTV signal ambiguity function analysis for radar application , 2005 .

[5]  M. Martorella,et al.  A software defined UMTS passive radar demonstrator , 2010, 11-th INTERNATIONAL RADAR SYMPOSIUM.

[6]  Michael Inggs Passive Coherent Location as Cognitive Radar , 2010, IEEE Aerospace and Electronic Systems Magazine.

[7]  Moe Z. Win,et al.  Cooperative Localization in Wireless Networks , 2009, Proceedings of the IEEE.

[8]  Hongbo Sun,et al.  Passive radar using Global System for Mobile communication signal: theory, implementation and measurements , 2005 .

[9]  Emmanuel J. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[10]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[11]  C.J. Baker,et al.  Evaluation of WiFi beacon transmissions for wireless based passive radar , 2008, 2008 IEEE Radar Conference.

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

[13]  S. Frick,et al.  Compressed Sensing , 2014, Computer Vision, A Reference Guide.

[14]  H. Griffiths,et al.  Television-based bistatic radar , 1986 .

[15]  Chunping Hou,et al.  An Experimental Study of WiMAX-Based Passive Radar , 2010, IEEE Transactions on Microwave Theory and Techniques.

[16]  Michael Inggs,et al.  Autonomic subsystems for cognition in Passive Coherent Location , 2010, 2010 IEEE Radar Conference.