A new Illuminator of Opportunity Bistatic Radar Research Project at DSTO Executive Summary

Abstract : In this report a new Illuminator of Opportunity / Passive Coherent Location research project being conducted in the Microwave Radar Branch of EWRD at DSTO is discussed. Details are provided about such aspects as transmitter selection and characteristics, experimental configurations and power budget studies. Furthermore, a preliminary analysis of two different transmitters' waveform ambiguity functions is presented. Early results from field experiments demonstrating detections of cars, trucks, trains, helicopters and aircraft using a terrestrial digital TV and geosynchronous satellite signals are also presented. The ability to detect and track targets is then demonstrated through the use of several CFAR and Track Before Detect algorithms. The report concludes by discussing potential application areas for this technology as well as highlighting the likely directions of future research.

[1]  Hugh Griffiths,et al.  Ambiguity function analysis of Digital Radio Mondiale signals for HF passive bistatic radar , 2006 .

[2]  Chris Baker,et al.  Bistatic radar using satellite-borne illuminators , 2002, RADAR 2002.

[3]  P. E. Howland,et al.  Target tracking using television-based bistatic radar , 1999 .

[4]  M. Acheroy,et al.  Optimum target detection using illuminators of opportunity , 2006, 2006 IEEE Conference on Radar.

[5]  H. Koymen,et al.  Range Resolution Improvement in Passive Coherent Location Radar Systems Using Multiple FM Radio Channels , 2006 .

[6]  C.J. Baker,et al.  Measurement and analysis of ambiguity functions of passive radar transmissions , 2005, IEEE International Radar Conference, 2005..

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

[8]  Andrew G. Dempster,et al.  Feasibility of Air Target Detection Using GPS as a Bistatic Radar , 2006 .

[9]  V. Koch,et al.  New approach to a multistatic passive radar sensor for air/space defense , 1995 .

[10]  Saleem A. Kassam,et al.  Analysis of CFAR processors in homogeneous background , 1988 .

[11]  S. J. Anderson,et al.  DSTO Waveform Analysis of Transmitters of Opportunity for Passive Radar , 1999 .

[12]  Kurt Kubik,et al.  Air target detection via bistatic radar based on LEOs communication signals , 2002 .

[13]  Samuel J. Davey,et al.  A Comparison of Detection Performance for Several Track-before-Detect Algorithms , 2008, 2008 11th International Conference on Information Fusion.

[14]  H. Griffiths,et al.  Passive coherent location radar systems. Part 1: performance prediction , 2005 .

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

[16]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[17]  Tuan Vu Cao,et al.  Constant false-alarm rate algorithm based on test cell information , 2008 .

[18]  J. Palmer,et al.  Illuminator of Opportunity Bistatic Radar research at DSTO , 2008, 2008 International Conference on Radar.

[19]  Chris Baker,et al.  Passive coherent location radar systems. Part 2: waveform properties , 2005 .

[20]  H. M. Finn,et al.  Adaptive detection mode with threshold control as a function of spatially sampled clutter level estimates , 1968 .

[21]  Ran Tao,et al.  DVB-T Signal Cross-Ambiguity Functions Improvement for Passive Radar , 2006, 2006 CIE International Conference on Radar.

[22]  P. Howland.  Editorial: Passive radar systems , 2005 .

[23]  H. Griffiths,et al.  Bistatic radar using satellite-borne illuminators of opportunity , 1992 .

[24]  C. Mikhail,et al.  Bistatic synthetic aperture radar with non-cooperative LEOS based transmitter , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).