A GNU Radio Based Software-Defined Radar

Patton, Lee. M.S.E., Department of Electrical Engineering, Wright State University, 2007. A GNU Radio Based Software-Defined Radar. GNU Radio is an open source software-defined radio project, and the Universal Software Radio Peripheral (USRP) is hardware designed specifically for use with GNU Radio. Together, these two technologies have been used to implement very sophisticated, yet low cost, software-defined radios. Since software-defined radio and software-defined radar are really one in the same technologies, it stands to reason that GNU Radio and the USRP could be utilized to form a low cost radar sensor. In this thesis, we discuss the design of a prototype software-defined radar, built using the open source GNU Radio and open specification USRP projects. The prototype design is introduced, followed by the results of laboratory testing. A discussion on the expected operational performance of the prototype is then provided. The thesis concludes with the development and analysis of a waveform optimization algorithm that is capable of improving signal to interference plus noise ratio in the presence of a band-limited interferer. The low computational complexity of this algorithm make it amenable to software-defined radar.

[1]  Eric Blossom,et al.  GNU radio: tools for exploring the radio frequency spectrum , 2004 .

[2]  Marco Diani,et al.  Autofocus of wide azimuth angle SAR images by contrast optimisation , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[3]  D. Wehner High Resolution Radar , 1987 .

[4]  Robert M. Gray,et al.  Toeplitz and Circulant Matrices: A Review , 2005, Found. Trends Commun. Inf. Theory.

[5]  B. P. Lathi Signal Processing And Linear Systems , 1998 .

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

[7]  J.R. Guerci,et al.  Radar waveform optimization for colored noise mitigation , 2005, IEEE International Radar Conference, 2005..

[8]  Paulo Sergio Ramirez,et al.  Fundamentals of Adaptive Filtering , 2002 .

[9]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[10]  W. Clem Karl,et al.  Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization , 2001, IEEE Trans. Image Process..

[11]  R. C. Macridis A review , 1963 .

[12]  Jameson S. Bergin,et al.  Practical radar waveform optimization techniques for colored noise mitigation , 2006, 2006 International Waveform Diversity & Design Conference.

[13]  M. Lindenfeld Sparse frequency transmit-and-receive waveform design , 2004, IEEE Transactions on Aerospace and Electronic Systems.