Improved side lobe suppression method for four-dimensional sparse array
A technology of sidelobe suppression and sparse array, which is applied in the field of four-dimensional antenna array, can solve the problems of increasing the number of iterations, prolonging the running time of the program, and failing to converge, and achieving the effect of low sidelobe level and sideband level
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[0082] On the Matlab platform, the sidelobe level and sideband level of the array antenna are optimized and simulated using the DE algorithm and the FCRDC-DE algorithm respectively. The operating environment is: Intel Pentium G640 (2.8GHz), 2G (1333MHz), Windows7 Ultimate Edition , Matlab R2011b.
[0083] Consider a sparse array of 48 elements, pulse repetition frequency f p =1KHz, carrier frequency f=1.56GHz, carrier wavelength λ=1 / f. The array antenna adopts uniform excitation, that is, the excitation of each antenna unit is the same, and the turn-on and turn-off time of the antenna unit with and the spatial position x n Symmetrically distributed about the center of the array. Set the optimization target as: 3dB main lobe width θ d =2.2°, side lobe level SLL d =-60dB, sideband level SBL d =-40dB. Antenna element conduction time per time step The search range is [0.01T p , T p ], antenna element spacing (x n+1 -x n ) search range is [0.55λ,λ], and the search s...
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