A Framework for the Analysis of Multistatic Radar Systems with Multiple Transmitters

The multistatic ambiguity function can be used as a tool for analyzing multistatic radar systems. It has been demonstrated that the multistatic ambiguity function can serve as a guideline for developing multistatic radar signal processing rules and waveform selection strategies in system configurations with a single transmitter and multiple receivers. In this work we extend the development of multistatic ambiguity function to radar systems with multiple transmitters and multiple receivers.

[1]  M.C. Wicks,et al.  Multistatic radar systems signal processing , 2006, 2006 IEEE Conference on Radar.

[2]  D.D. Weiner,et al.  Improved STAP performance using knowledge-aided secondary data selection , 2004, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).

[3]  Michael C. Wicks,et al.  Artificial intelligence applications to constant false alarm rate (CFAR) processing , 1993, The Record of the 1993 IEEE National Radar Conference.

[4]  A. Farina,et al.  Knowledge-based radar signal and data processing: a tutorial review , 2006, IEEE Signal Processing Magazine.

[5]  M. Wicks,et al.  Implementing digital terrain data in knowledge-aided space-time adaptive processing , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Alfonso Farina,et al.  Multistatic radar detection: synthesis and comparison of optimum and suboptimum receivers , 1983 .

[7]  M.C. Wicks,et al.  Signal processing and waveform selection strategies in multistatic radar systems , 2007, 2007 International Waveform Diversity and Design Conference.

[8]  I. Bradaric,et al.  Waveform diversity in multistatic radar , 2006, 2006 International Waveform Diversity & Design Conference.

[9]  Michael C. Wicks,et al.  Waveform diversity and sensors as robots in advanced military systems , 2004 .