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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

Inactive Publication Date: 2017-07-25
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

For general numerical optimization algorithms, a large number of optimization parameters will not only greatly increase the number of iterations, prolong the running time of the program, and sometimes even fail to converge

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  • Improved side lobe suppression method for four-dimensional sparse array
  • Improved side lobe suppression method for four-dimensional sparse array
  • Improved side lobe suppression method for four-dimensional sparse array

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Embodiment

[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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Abstract

The invention mainly relates to the field of four-dimensional antenna arrays, in particular to an optimization algorithm and a time modulation mode in a four-dimensional sparse array design process. The invention provides an improved side lobe suppression method for a four-dimensional sparse array; and the optimization algorithm and the time modulation mode in the four-dimensional sparse array design are improved at the same time, so that a lower side lobe level and a sideband level are obtained under the condition of keeping main lode width unchanged.

Description

technical field [0001] The invention mainly relates to the field of four-dimensional antenna arrays, in particular to an optimization algorithm and a time modulation method in the design process of the four-dimensional sparse array. Background technique [0002] Differential Evolution (DE) is a population-based global optimization algorithm proposed by Storn and Price in 1996 to solve real number optimization problems. It adopts a random search strategy, uses differential information between different individuals to guide the evolution of the entire population, and uses a greedy selection mechanism to control the evolution direction and search for the optimal solution that meets the conditions. The biggest feature of this algorithm is that it uses floating-point real number encoding, which is suitable for most optimization problems in continuous domains. Because the algorithm itself requires only a few parameters and can work reliably in nonlinear and multi-peak problem env...

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
CPCG06F30/20G06N3/126
Inventor 窦衡蔡得泉魏子棱马晓双
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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