This paper optimizes MIMO radar arrays in the near field using the genetic algorithm (GA). GA determines which elements are turned on in the two periodic arrays (transmitting and receiving arrays) to yield the lowest maximum relative sidelobe level. A fitness function of GA for MIMO radar near field pattern is
constructed, and a fast method based FFT is given to calculate the function. A pair crossover strategy is used to make a constant thinned ratio. Simulations are performed to compare the optimization of MIMO radar with symmetric and asymmetric arrays. Analysis shows that, by optimizing the MIMO radar with symmetric arrays and when focusing on a point in the detecting region, they can yield arrays that can maintain the performance when scanning other points in the same range and with a smaller angle.
CHEN Gang, GU Hong, SU Wei-min, WU Hao
. Optimization of MIMO Radar Arrays in Near Field[J]. Journal of Applied Sciences, 2013
, 31(4)
: 387
-393
.
DOI: 10.3969/j.issn.0255-8297.2013.04.009
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