Antenna array spare construction method based on quantum glowworm search mechanism

A construction method and firefly technology, applied in the field of sparse antenna array construction, can solve problems such as unsatisfactory convergence speed and convergence accuracy, large performance impact, and inability to solve the global convergence problem of sparse antenna array construction.

Active Publication Date: 2014-10-15
HARBIN ENG UNIV
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Problems solved by technology

Although the performance is improved compared with the sparse array construction of the traditional genetic algorithm, the convergence speed and convergence accuracy are not ideal, and it still cannot solve the global convergence problem of the sparse construction of the an...

Method used

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  • Antenna array spare construction method based on quantum glowworm search mechanism
  • Antenna array spare construction method based on quantum glowworm search mechanism
  • Antenna array spare construction method based on quantum glowworm search mechanism

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Embodiment Construction

[0045] Such as figure 1 As shown, the antenna array sparse construction method based on the quantum firefly search mechanism of the present invention comprises the following steps:

[0046] Step 1: Establish the antenna sparse array model, determine the key parameters of the quantum firefly search mechanism corresponding to the antenna array sparseness, and generate the initial quantum firefly quantum position and quantum firefly position;

[0047] The antenna sparse array model is established by the following method,

[0048] For an equally spaced sparse array of D grids, when the pattern of each array element is in the same direction, the pattern of the array is expressed as I l ∈{0,1} is the antenna flag, when its value is "1", it means that the antenna is placed on the grid, and when the value is "0", it means that the antenna is not placed on the grid. Since the excitation amplitudes of each unit are equal, that is, the normalized amplitudes are all 1, so I l It can ...

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Abstract

The invention relates to an antenna array spare construction method based on a quantum glowworm search mechanism. The antenna array spare construction method comprises the following steps: establishing an antenna spare array model, and determining a key parameter, which corresponds to the quantum glowworm search mechanism, of the antenna spare array model; substituting a quantum glowworm position into a fitness function to obtain a fitness value of the quantum glowworm position, and confirming a local optimal position and a global optimal position in a glowworm group; updating the fluorescein value and the learning neighborhood of each quantum glowworm; updating a quantum glowworm quantum position and the quantum glowworm position; updating the dynamic decision domain radius of the quantum glowworm; calculating the fitness value under a new quantum glowworm position, and confirming the local optimal position and the global optimal position in a quantum glowworm group again; and if a maximum iteration is achieved, outputting the global optimal position, and mapping to obtain a spare antenna array form.

Description

technical field [0001] The invention relates to a sparse construction method of an antenna array based on a quantum firefly search mechanism. Background technique [0002] Smart antenna technology is a key technology in the field of communication and radar. It can automatically adjust the transmission and reception pattern according to the combination of multiple antennas, and realize the optimization of parameter selection according to different application needs. In the fields of radar, wireless communication and electronic countermeasures, etc. important role in modern systems. In actual engineering, the antenna array is composed of tens of thousands of antennas, and in order to improve the antenna directivity, the method of amplitude and phase weighting needs to be adopted, so that the feeding network of the antenna will be very complicated, which makes the system input cost Increase, but also affect the processing speed of the system, sometimes even difficult to achiev...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 高洪元杜亚男陈梦晗李晨琬刁鸣杨晗
Owner HARBIN ENG UNIV
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