A Genetic Algorithm-Based Method for Optimizing the Array Element Position of Mimo-SAR Area Array Antenna
A technology of MIMO-SAR and genetic algorithm, which is applied in the field of multi-input multi-output synthetic aperture radar imaging and radar, and can solve the problems of genetic algorithm population monotony, premature convergence, optimization problems that cannot reach the optimal solution, etc.
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[0081] The present invention mainly adopts the method of simulation experiment for verification, and all steps and conclusions are verified correctly on MATLAB2013a. The specific implementation steps are as follows:
[0082] Step 1. MIMO-SAR area array parameter initialization:
[0083] Initialize the MIMO-SAR area array parameters include: the carrier wavelength λ=0.03m of the radar transmitting signal; the propagation speed of the electromagnetic wave in the air, denoted as C=3×10 8 Hz; the minimum interval between array elements, dc=0.015m; the number of transmitting array elements, TN=30; the number of receiving array elements, RN=30; the total number of array elements, SN=60; the pitch angle of the target scattering point, θ 0 = 45 degrees; the azimuth angle of the target scattering point, According to the multiple-input multiple-output synthetic aperture radar imaging system scheme, the initialization parameters of the MIMO-SAR array are all known.
[0084] Step 2. G...
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