Wideband MIMO radar beampattern shaping with space-frequency nulling

Abstract This paper deals with the design of wideband Multiple-Input Multiple-Output (MIMO) radar waveform to approximate a desired beampattern and achieve prescribed space-frequency nulling in a space-frequency region of interest. An objective function considering a specific weighted sum of the beampattern matching error and the space-frequency stopband energy is presented to minimize under the Constant Modulus (CM) requirement on the probing waveform. To handle the resulting non-convex (also NP-hard in general) optimization problem, a fast iterative algorithm sharing a polynomial computational complexity is proposed. In each iteration, it involves a novel Iterative Optimization Algorithm (IOA) to cope with a non-convex quadratic programming problem ensuring that the objective value monotonically decreases and converges to a finite value, and the corresponding solution fulfills first-order optimality conditions. Numerical results are provided to illustrate the performance of the proposed algorithm compared with the available methods.

[1]  Augusto Aubry,et al.  A New Sequential Optimization Procedure and Its Applications to Resource Allocation for Wireless Systems , 2018, IEEE Transactions on Signal Processing.

[2]  Weixing Sheng,et al.  Wideband multiple-input multiple-output radar waveform design with low peak-to-average ratio constraint , 2016 .

[3]  Augusto Aubry,et al.  Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[4]  D. Fuhrmann,et al.  Beampattern synthesis for wideband MIMO radar systems , 2005, 1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005..

[5]  Jian Li,et al.  Local Ambiguity Function Shaping via Unimodular Sequence Design , 2017, IEEE Signal Processing Letters.

[6]  Jian Li,et al.  Unimodular Sequence Design Based on Alternating Direction Method of Multipliers , 2016, IEEE Transactions on Signal Processing.

[7]  Vishal Monga,et al.  Spatio-Spectral Radar Beampattern Design for Coexistence With Wireless Communication Systems , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Augusto Aubry,et al.  Ambiguity Function Shaping for Cognitive Radar Via Complex Quartic Optimization , 2013, IEEE Transactions on Signal Processing.

[9]  P. Stoica,et al.  MIMO Radar Signal Processing , 2008 .

[10]  Jun Tang,et al.  Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar Space-Time Adaptive Processing , 2016, IEEE Transactions on Signal Processing.

[11]  Lingjiang Kong,et al.  Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar , 2017, IEEE Transactions on Signal Processing.

[12]  Lingjiang Kong,et al.  Cognitive Local Ambiguity Function Shaping With Spectral Coexistence , 2018, IEEE Access.

[13]  Shannon D. Blunt,et al.  Wideband MIMO Frequency-Modulated Emission Design With Space-Frequency Nulling , 2017, IEEE Journal of Selected Topics in Signal Processing.

[14]  Zhi-Quan Luo,et al.  Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint , 2009, IEEE Transactions on Signal Processing.

[15]  Jianyu Yang,et al.  A template fitting approach for cognitive unimodular sequence design , 2016, Signal Process..

[16]  Hao He,et al.  Wideband MIMO Systems: Signal Design for Transmit Beampattern Synthesis , 2011, IEEE Transactions on Signal Processing.

[17]  J. R. Guerci,et al.  Cognitive radar: A knowledge-aided fully adaptive approach , 2010, 2010 IEEE Radar Conference.

[18]  Jian Li,et al.  MIMO Radar with Colocated Antennas , 2007, IEEE Signal Processing Magazine.

[19]  Zhi-Quan Luo,et al.  A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization , 2012, SIAM J. Optim..

[20]  Christos Masouros,et al.  Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design , 2017, IEEE Transactions on Signal Processing.

[21]  Hongbin Li,et al.  MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints , 2014, IEEE Transactions on Signal Processing.

[22]  Jian Li,et al.  Quadratic Optimization With Similarity Constraint for Unimodular Sequence Synthesis , 2017, IEEE Transactions on Signal Processing.

[23]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[24]  A. Aubry,et al.  A new radar waveform design algorithm with improved feasibility for spectral coexistence , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[25]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[26]  Lingjiang Kong,et al.  Constrained transmit beampattern design for colocated MIMO radar , 2018, Signal Process..

[27]  Augusto Aubry,et al.  Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[28]  Lingjiang Kong,et al.  Constant modulus sequence set design with good correlation properties , 2017, Signal Process..

[29]  Vishal Monga,et al.  Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint , 2017, IEEE Transactions on Signal Processing.

[30]  Jian Li,et al.  Constant Modulus MIMO Radar Waveform Design With Minimum Peak Sidelobe Transmit Beampattern , 2018, IEEE Transactions on Signal Processing.

[31]  Jian Li,et al.  Constrained Waveform Design for Colocated MIMO Radar With Uncertain Steering Matrices , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[32]  Zheng Bao,et al.  Wideband MIMO Radar Waveform Design for Multiple Target Imaging , 2016, IEEE Sensors Journal.

[33]  Hao He,et al.  Waveform Design for Active Sensing Systems: A Computational Approach , 2012 .

[34]  George A. F. Seber,et al.  A matrix handbook for statisticians , 2007 .