Ambiguity Functions for Monostatic and Bistatic Radar Systems using UWB Throb Signal

Waveform design and ambiguity function are significant tools for the performance analysis of radar systems. We first describe the principle of waveform design for ultrawideband (UWB) impulse waveforms and present the signal model and the advantages of a UWB-throb signal. The ambiguity function of the UWB-throb signal for monostatic radar is derived in detail and analyzed by computer simulation to show its capabilities for enhanced radar performance in terms of target detection, resolution, accuracy of range and velocity measurements, and clutter suppression. The resolution theory for bistatic radar using UWB-throb signal is also presented. The dependence of delay and Doppler shift, associated with a moving target, on the parameters that constitute the geometry of bistatic radar is formulated and used to obtain the bistatic ambiguity function of the UWB-throb signal. Computer simulation plots are generated that clearly illustrate the effects of change in radar-target geometry on the overall characteristics of the bistatic ambiguity function. The computer plots of the monostatic and the bistatic ambiguity functions of the UWB-throb signal demonstrate that such signal can achieve the "thumbtack ambiguity function," that is desirable for the numerous applications of UWB-impulse radar.

[1]  M. Jackson.  The geometry of bistatic radar systems , 1986 .

[2]  B.D. Van Veen,et al.  Ultrawide-band microwave space-time beamforming for hyperthermia treatment of breast cancer: a computational feasibility study , 2004, IEEE Transactions on Microwave Theory and Techniques.

[3]  M.G.M. Hussain.  Principles of high-resolution radar based on nonsinusoidal waves. II. Generalized ambiguity function , 1989 .

[4]  J. Klauder,et al.  The theory and design of chirp radars , 1960 .

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

[6]  Malek G. M. Hussain,et al.  Electromagnetic signals : reflection, focusing, distortion, and their practical applications , 1999 .

[7]  Shen-Iuan Liu,et al.  A Calibrated Pulse Generator for Impulse-Radio UWB Applications , 2005, IEEE Journal of Solid-State Circuits.

[8]  Ram M. Narayanan,et al.  Theoretical aspects of radar imaging using stochastic waveforms , 2001, IEEE Trans. Signal Process..

[9]  S. LaRochelle,et al.  Ultra-Wideband Waveform Generator Based on Optical Pulse-Shaping and FBG Tuning , 2008, IEEE Photonics Technology Letters.

[10]  J. Kroszczynski.  Pulse compression by means of linear-period modulation , 1969 .

[11]  A. W. Rihaczek.  Principles of high-resolution radar , 1969 .

[12]  Malek G. M. Hussain,et al.  Waveform Design and Generalized Ambiguity Function for Ultrawideband Nonsinusoidal Signals , 2007 .

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

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

[15]  R. Narayanan,et al.  Doppler estimation using a coherent ultrawide-band random noise radar , 2000 .

[16]  H. Schwarzlander,et al.  Ambiguity function for a bistatic radar , 1992, [1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis.

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

[18]  M.G.M. Hussain.  Delay-doppler ambiguity function of ultrawideband-throb signals , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[19]  Henning F. Harmuth,et al.  Nonsinusoidal Waves for Radar and Radio Communication , 1981 .

[20]  Malek G. M. Hussain.  Principles of high-resolution radar based on nonsinusoidal waves. I - Signal representation and pulse compression. II - Generalized ambiguity function , 1989 .

[21]  M. Skolnik,et al.  An ultrawideband microwave-radar conceptual design , 1995, Proceedings International Radar Conference.

[22]  August W. Rihaczek,et al.  Delay-Doppler Ambiguity Function for Wideband Signals , 1967, IEEE Transactions on Aerospace and Electronic Systems.

[23]  MALEK G. M. HUSSAIN.  Signal Design for Ultra-Wideband Radar and Wireless Communications , 2001 .

[24]  L.M.H. Ulander,et al.  Bistatic ultra-wideband SAR for imaging of ground targets under foliage , 2005, IEEE International Radar Conference, 2005..

[25]  M.G.M. Hussain,et al.  Ultra-wideband impulse radar-an overview of the principles , 1998 .

[26]  James D. Taylor,et al.  Introduction to Ultra-Wideband Radar Systems , 1995 .

[27]  Shane Cloude,et al.  Ultra-Wideband, Short-Pulse Electromagnetics 5 , 2002 .

[28]  M.G.M. Hussain,et al.  Waveform design and modulation schemes for impulse communications and radar , 2007, 2007 International Waveform Diversity and Design Conference.

[29]  J.P. Costas,et al.  A study of a class of detection waveforms having nearly ideal range—Doppler ambiguity properties , 1983, Proceedings of the IEEE.

[30]  Chao Wang,et al.  All-Fiber Ultrawideband Pulse Generation Based on Spectral Shaping and Dispersion-Induced Frequency-to-Time Conversion , 2007, IEEE Photonics Technology Letters.