基于粒子群优化算法的功率倒置阵列

doi:10.3969/j.issn.1001-2400.2012.04.013

Abstract

Abstract:

The convergent speed and steady-state misadjustment error can not be improved simultaneously in the power inversion array when using the least mean square(LMS) algorithm. However, the recursive least squares (RLS) algorithm used in the power inversion array also bears a burden of large computation and is realized with difficulty. To solve this problem, the particle swarm optimization (PSO) algorithm adopting the time-varying fitness function is proposed. By means of introducing such techniques as the variable inertia factor, variable maximum speed and selection mechanism, the algorithm can adjust the weight coefficients adaptively to find the best solution. The power inversion array using the PSO algorithm can place nulls to suppress jamming effectively.

Key words: particle swarm optimization algorithm, RLS algorithm, LMS algorithm, power inversion array, time-varying fitness function

ZHANG Biao;WANG Jieling;TIAN Bin;YI Kechu. Power inversion array based on particle swam optimization[J].J4, 2012, 39(4): 67-73.

References

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Power inversion array based on particle swam optimization

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