Technical Background and Principles for the Examples of MIMO Radar System
Abstract
of the multiple-input multiple-output (MIMO) radar system with
distributed apertures, the problem of radar waveform design for
target identification and classification. Both the ordinary radar with
a single transmitter and receiver and the recently proposed MIMO
radar are considered. Most radar systems operate by radiating a
specific electromagnetic signal into a region and detecting the echo
returned from the reflecting targets. A random target impulse
response is used to model the scattering characteristics of the
extended (nonpoint) target, and two radar waveform design
problems with constraints on waveform power have been
investigated. The first one is to design waveforms that maximize the
conditional mutual information between the random target impulse
response and the reflected waveforms given the knowledge of
transmitted waveforms. The second one is to find transmitted
waveforms that minimize the mean square error in estimating the
target impulse response. MIMO radar has the potential to
significantly enhance the flexibility and performance of radar
technology.
Full Text:
PDFReferences
M. I. Skolnik, Introduction to Radar System, 3rd Edition, McGraw-Hill,
New York, NY, 2002.
A. S. Luce, H. Molina, D. Muller, and V. Thirard, Experimental Results on
RIAS Digital Beamforming Radar, Radar 92-International Conference,
Brighton, UK, October 12-13, 1992, pp. 74-77.
A. H. Haimovich, R. S. Blum, and L. J. Cimini, “MIMO Radar with Widely
Separated Antennas”, IEEE Signal Processing Magazine, Vol. 25, No. 1, 2008,
pp. 116-129.
E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R.
Valenzuela, MIMO Radar: An Idea Whose Time Has Come, Proceedings IEEE
Radar Conference, Philadelphia, Pennsylvania, April 26-29, 2004, pp. 71-78.
G. Frazer, Y. Abramovich, and B. Johnson, Recent Results in MIMO Over
the Horizon Radar, Proceedings IEEE Radar Conference, Rome, Italy, May 21-
, 2008, pp. 789-794.
A. Leshem and A.-J. van der Veen, “Radio-astronomical Imaging in the
Presence of Strong Radio Interference”, IEEE Transactions on Information
Theory, Vol. 46, No. 5, 2000, pp. 1730-1747.
E. Fishler, A. Haimovich, R. Blum, L. Cimini, D. Chizhik, and R.
Valenzuela, “Spatial Diversity in Radars-Models and Detection Performance”,
IEEE Transactions on Signal Processing, Vol. 54, No. 3, 2006, pp. 823-838.
N. Lehmann, E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and
R. Valenzuela, “Evaluation of Transmit Diversity in MIMO-radar Direction
Finding”, IEEE Transactions on Signal Processing, Vol. 55, No. 5, 2007, pp.
-2225.
J. Li, P. Stoica, and X. Zheng, “Signal Synthesis and Receiver Design for
MIMO Radar Imaging”, IEEE Transactions on Signal Processing, Vol. 56, No.
, 2008, pp. 3959-3968.
G. J. Frazer, Y. I. Abramovich, and B. A. Johnson. “Multiple-Input
Multiple-Output Over-the-Horizon Radar: Experimental Results”, IET Radar,
Sonar and Navigation, Vol. 3, No. 4, 2009, pp 290-303.
A. Maio, and M. Lops, “Design Principles of MIMO Radar Detectors”,
IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 3, 2007,
pp. 886-898.
A. De Maio, M. Lops, and L. Venturino. “Diversity-Integration Tradeoffs in
MIMO Detection”, IEEE Transactions on Signal Processing, Vol. 56, No. 10,
, pp. 5051-5061.
M. Akcakaya, and A. Nehorai, “MIMO Radar Detection and Adaptive
Design Under a Phase Synchronization Mismatch”, IEEE Transactions on Signal
Processing, Vol. 58, No. 10, 2010, pp. 4994-5005.
C. R. Berger, B. Demissie, J. Heckenbach, P. Willett, and S. Zhou, “Signal
Processing for Passive Radar Using OFDM Waveforms”, IEEE Journal of
Selected Topics in Signal Processing, Vol. 4, No. 1, 2010, pp. 226-238.
S. Gogineni, and A. Nehorai, “Target Estimation Using Sparse Modeling
for Distributed MIMO Radar”, IEEE Transactions on Signal Processing, Vol.
, No. 11, 2011, pp. 5315-5325.
F. C. Robey, S. Coutts, D. D. Weikle, J. C. McHarg, and K. Cuomo,
MIMO Radar Theory and Experimental Results, 38th Asilomar Conference on
Signals, Systems and Computers, Pacific Grove, CA, November 7-10, 2004,
Vol. 1, pp. 300-304.
J. Li, and P. Stoica, “MIMO Radar with Colocated Antennas: Review of
Some Recent Work”, IEEE Signal Processing Magazine,Vol. 24, No. 5, 2007,
pp 106-114.
J. Li, and P. Stoica, MIMO Radar Signal Processing, 1st Edition, John
Wiley and Sons, Inc., Hoboken, NJ, 2008.
B. Friedlander, “On the Relationship Between MIMO and SIMO Radars”,
IEEE Transactions on Signal Processing, Vol.57, No. 1, 2008, pp 394-398.
X. Song, S. Zhou, and P.Willett, “Reducing the Waveform Cross
Correlation of MIMO Radar with Space-Time Coding”, IEEE Transactions on
Signal Processing, Vol. 58, No. 8, 2010, pp 4213-4224.
L. L. Horowitz, Clutter Cancellation Limits of Adaptive Processing Applied
to Coherent Multiple-Input Multiple-Output Ground Moving Target Indication,
Massachusetts Institute of Technology Lincoln Laboratory, Technical Report
, Lexington, Massachusetts, 2011.
J. Webster, Wiley Encyclopedia of Electrical and Electronics Engineering,
John Wiley and Sons, Inc., FL, USA, 2015.
A. Hassanien, and S. A. Vorobyov, “Phased-MIMO Radar: A Tradeoff
Between Phased-Array and MIMO Radars”, DRAFT (arXiv:0908.2153v1),
, pp. 1-33.
O. F. Garcia, Signal Processing for mmWave MIMO Radar, M.Sc. Thesis.
University of Gavle, Faculty of Engineering and Sustainable Development,
Gavle, Sweden, June 2015.
B. Friedlander, “On Transmit Beamforming for MIMO Radar”, IEEE
Transactions on Aerospace and Electronic Systems, Vol. 48, No. 4, 2012, pp
-3388.
A. Lozano, and N. Jindal, “Transmit Diversity vs. Spatial Multiplexing in
Modern MIMO Systems”, IEEE Transactions on Wireless Communications,
Vol. 9, No. 1, 2010, pp. 186-197.
K. Yao, F. Lorenzelli, and C.-E. Chen, Detection and Estimation for
Communication and Radar Systems, Cambridge University Press, 2013.
V. S. Chernyak, and I. Immoreev, “A Brief History of Radar,” IEEE
Aerospace and Electronic Systems Magazine, Vol. 24, No. 9, 2009, pp. B1-B32.
Y. Yu, A. P. Petropulu, and H. V. Poor, “MIMO Radar Using Compressive
Sampling”, IEEE Journal of Selected Topics in Signal Processing, Vol. 4, No. 1,
, pp. 146-163.
O. Biallawons, J. Klare, and O. Saalmann, Technical Realization of the
MIMO Radar MIRACLE Ka, 2013 European Radar Conference, Nuremberg,
Germany, October 9-11, 2013, pp. 21-24.
G. Krieger, “MIMO-SAR: Opportunities and Pitfalls”, IEEE Transactions
on Geoscience and Remote Sensing, Vol. 52, No. 5, 2014, pp. 2628-2645.
L. Nguyen, Image Resolution Computation for Ultra-Wideband (UWB)
Synchronous Impulse Reconstruction (SIRE) Radar, Army Research Laboratory,
Technical Report ARL-TN-294, Adelphi, Maryland, 2007.
G. Krieger, N. Gebert, and A. Moreirra, “Multidimensional Waveform
Encoding: A New Digital Beamforming Technique for Synthetic Aperture Radar
Remote Sensing”, IEEE Transactions on Geoscience and Remote Sensing,
Vol.46, No. 1, 2008, pp. 31-46.
V. F. Mecca, D. Ramakrishnan, and J. L. Krolik, MIMO Radar Space-Time
Adaptive Processing for Multipath Clutter Mitigation, 4th IEEE Workshop on
Sensor Array and Multichannel Processing; Waltham, MA-USA, July 12-14,
, pp. 580-585.
H. He, J. Li, and P. Stoica, Waveform Design for Active Sensing Systems-A
Computational Approach, Cambridge University Press, 2012.
C.-Y. Chen, and P. P. Vaidyanathan, “MIMO Radar Ambiguity Properties
and Optimization Using Frequency-Hopping Waveforms”, IEEE Transactions
on Signal Processing, Vol. 56, No. 12, 2008, pp. 5926-5936.
Refbacks
- There are currently no refbacks.
Copyright © IJETT, International Journal on Emerging Trends in Technology