Performance Analysis of Beamforming for MIMO Radar

The full MIMO radar and the partial MIMO one are introduced. The performance analysis of beamforming for MIMO (Multiple-input Multiple-output) radar and comparisons with the phased-array radar are given. The expressions of beamwidth, gain loss and detection range for MIMO radar are derived. Theoretical analysis and simulations show that the beam of the full MIMO utilizing all virtual array elements is identical to the two-way beam of the phasedarray radar, and that the beam of the partial MIMO selecting elements with different phase centers (phase shifts) is narrower, but has a gain loss. Additionally, the partial MIMO can avoid aliasing in space when the transmitting antennas are spaced at greater than half-wavelength spacing. As scanning radar, the partial MIMO radar has smaller detection range than the phased-array radar, and the full MIMO radar has the same range as the phased-array radar.

[1]  D. K. Barton,et al.  Radar system analysis and modeling , 2004, IEEE Aerospace and Electronic Systems Magazine.

[2]  Kerim Guney,et al.  A CLONAL SELECTION ALGORITHM FOR ARRAY PATTERN NULLING BY CONTROLLING THE POSITIONS OF SELECTED ELEMENTS , 2008 .

[3]  Dimitris G. Manolakis,et al.  Statistical and Adaptive Signal Processing , 2000 .

[4]  D. J. Rabideau,et al.  Ubiquitous MIMO multifunction digital array radar , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[5]  Paolo Rocca,et al.  An Effective Excitation Matching Method for the Synthesis of Optimal Compromises Between Sum and Difference Patterns in Planar Arrays , 2008 .

[6]  Daniel W. Bliss,et al.  Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[7]  X.-W. Shi,et al.  Optimized Design of Ideal and Actual Transformer Based on Improved Micro-Genetic Algorithm , 2007 .

[8]  F.C. Robey,et al.  MIMO radar theory and experimental results , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[9]  Moctar Mouhamadou,et al.  SMART ANTENNA ARRAY PATTERNS SYNTHESIS: NULL STEERING AND MULTI-USER BEAMFORMING BY PHASE CONTROL , 2006 .

[10]  J. Tabrikian,et al.  Target Detection and Localization Using MIMO Radars and Sonars , 2006, IEEE Transactions on Signal Processing.

[11]  Rick S. Blum,et al.  Performance of MIMO radar systems: advantages of angular diversity , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[12]  D.W. Bliss,et al.  Waveform Correlation and Optimization Issues for MIMO Radar , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[13]  E. Soliman,et al.  Optimization and Characterization of Electromagnetically Coupled Patch Antennas using RBF Neural Networks , 2006 .

[14]  Alexander M. Haimovich,et al.  Spatial Diversity in Radars—Models and Detection Performance , 2006, IEEE Transactions on Signal Processing.

[15]  Yong-Chang Jiao,et al.  Synthesis of Circular Antenna Array Using Crossed Particle Swarm Optimization Algorithm , 2006 .

[16]  K. Guney,et al.  Amplitude-Only Pattern Nulling of Linear Antenna Arrays with the Use of Bees Algorithm , 2007 .

[17]  G. K. Mahanti,et al.  Design of Fully Digital Controlled Reconfigurable Array Antennas with Fixed Dynamic Range Ratio , 2007 .

[18]  Jian Li,et al.  On Parameter Identifiability of MIMO Radar , 2007, IEEE Signal Processing Letters.