Large Thinned Array Design Based on Multi-objective Cross Entropy Algorithm
2015, 20 (4):
To consider multi-objective optimization problem with the number of feed array elements and sidelobe
level of large antenna array, multi-objective cross entropy (CE) algorithm is proposed by combining fuzzy c-mean
clustering algorithm with traditional cross entropy algorithm, and specific program flow of the algorithm is given.
Using the algorithm, large thinned array (200 elements) given sidelobe level (?10, ?19 and ?30 dB) problem is
solved successfully. Compared with the traditional statistical algorithms, the optimization results of the algorithm
validate that the number of feed array elements reduces by 51%, 11% and 6% respectively. In addition, compared
with the particle swarm optimization (PSO) algorithm, the number of feed array elements from the algorithm is
more similar, but the algorithm is more efficient.
Related Articles |