Harmony search algorithm-based linear sparse array grating lobe inhibition method

Abstract

The invention discloses a harmony search algorithm-based linear sparse array grating lobe inhibition method. The method comprises the steps of firstly, giving out a linear sparse array model comprising multiple constraints such as an array element number, an array aperture, an array element spacing and the like, and building an optimization model by taking the reduction of a PSLL of an array as anobjective function; and secondly, converting the array element spacing, namely an optimization independent variable into a new independent variable through a vector mapping method, building a linearsparse array grating lobe inhibition model with a higher optimization freedom degree on the premise of ensuring a feasible solution space to be unchanged, and performing optimization on the inhibitionmodel through an HS algorithm. Through iterative calculation, an optimal array layout for minimizing the sidelobe level of the array under the condition of meeting the multiple constraints is selected as an optimal solution, and an optimal direction graph is obtained according to the optimal array layout. The conversion of the optimization problem is performed by adopting the vector mapping method, so that the freedom degree of the problem is increased and the optimization efficiency is higher; the optimization is performed on the problem by adopting the HS algorithm, and through the iterative calculation, a better PSLL is obtained; and the method is high in convergence speed and good in robustness.

Description

technical field [0001] The invention belongs to the technical field of antenna array pattern synthesis, and in particular relates to a sparse wiring array grating lobe suppression method based on a harmony search algorithm. Background technique [0002] In contemporary electronic warfare, the increasingly complex battlefield environment puts forward stricter requirements for radar systems, and emerging system radars such as digital array radars, multiple-input multiple-output (MIMO) radars, and phased array radars have gained extensive development and application. However, considering the stealth characteristics of electromagnetic, the maneuverability of the carrier and the requirements of battlefield adaptability, the radar aperture is limited. The limitation of the size of the array antenna front restricts the resolution and range of action of the radar. The U.S. Naval Postgraduate School (NPS) proposed the concept of Opportunity Array Radar for this problem. As a wirel...

AI Technical Summary

Problems solved by technology

However, whether it is the classical density weighted array design method, partition dynamic programming method or intelligent evolutionary algorithm such as genetic algorithm, simulated annealing algorithm, particle swarm algorithm, etc., it often takes a long time to get the final optimization result.

It can be seen that in the optimal design of sparse array antennas, how to enhance the robustness of the method and improve the convergence speed while looking for the optimal solution remains to be studied

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