DocumentCode :
579159
Title :
MIMO-radar waveform design for beampattern using particle-swarm-optimisation
Author :
Ahmed, Sajid ; Thompson, John S. ; Mulgrew, Bernard
Author_Institution :
King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
6381
Lastpage :
6385
Abstract :
Multiple input multiple output (MIMO) radars have many advantages over their phased-array counterparts: improved spatial resolution; better parametric identifiably and greater flexibility to acheive the desired transmit beampattern. The desired transmit beampatterns using MIMO-radar requires the waveforms to have arbitrary auto- and cross-correlations. To design such waveforms, generally a waveform covariance matrix, R, is synthesised first then the actual waveforms are designed. Synthesis of the covariance matrix, R, is a constrained optimisation problem, which requires R to be positive semidefinite and all of its diagonal elements to be equal. To simplify the first constraint the covariance matrix is synthesised indirectly from its square-root matrix U, while for the second constraint the elements of the m-th column of U are parameterised using the coordinates of the m-hypersphere. This implicitly fulfils both of the constraints and enables us to write the cost-function in closed form. Then the cost-function is optimised using a simple particle-swarm-optimisation (PSO) technique, which requires only the cost-function and can optimise any choice of norm cost-function.
Keywords :
MIMO radar; correlation methods; covariance matrices; particle swarm optimisation; phased array radar; MIMO-radar waveform design; arbitrary auto-correlations; constrained optimisation problem; cross-correlations; m-hypersphere; m-th column; multiple input multiple output radars; particle swarm optimisation; phased-array counterparts; spatial resolution; square-root matrix; transmit beampatterns; waveform covariance matrix; Algorithm design and analysis; Covariance matrix; MIMO radar; Optimization; Transmitting antennas; Vectors; MIMO radar; beampattern design; colocated antennas; particle-swarm-optimisation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364672
Filename :
6364672
Link To Document :
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