Beam Forming from Randomly Spaced Elements in a Linear Array 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
2017 IEEE Wireless Communications and Networking Conference : [Volume 4 of 4] Pages 2147-2881.
出版年
2017
页码
2182-2187
会议地点
San Francisco
作者单位
Center for Advanced Computation and Telecommunications Department of Electrical and Computer Engineering University of Massachusetts Lowell Lowell, MA 01854Center for Advanced Computation and Telecommunications Department of Electrical and Computer Engineering University of Massachusetts Lowell Lowell, MA 01854Center for Advanced Computation and Telecommunications Department of Electrical and Computer Engineering University of Massachusetts Lowell Lowell, MA 01854Center for Advanced Computation and Telecommunications Department of Electrical and Computer Engineering University of Massachusetts Lowell Lowell, MA 01854Center for Advanced Computation and Telecommunications Department of Electrical and Computer Engineering University of Massachusetts Lowell Lowell, MA 01854
作者
Nicholas Misiunas;Jenny Au;Chrisna Nguon;Kavitha Chandra;Charles Thompson
摘要
The activation of antenna elements located at random positions on a linear aperture with constant currents so as to collaboratively transmit or receive in preferred directions is investigated. Assuming the elements are located in continuum spatially, the objective is to determine a probability distribution function for the element positions and characterize the random features of the resulting beam patterns. Two approaches are presented, one analytical and another that computationally determines the optimal positions using a firefly algorithm, where each firefly models an array with finite number of elements. The analytical model for the probability distribution is constrained to match the expected value of the beam response to the directivity function of a uniformly spaced element Dolph-Chebyshev array with a prescribed side lobe level. The variance in the side lobe amplitudes is shown to decrease as {formula} where N is the number of elements. The firefly algorithm simulates the exploratory and convergent behavior of a swarm of fireflies, attracted to one another through the light they emit, which is emulated through a fitness function. Multiple ensembles from the computational model yield a set of viable arrays that are shown to exhibit a lower variance than the analytical model. The computational model also yields a set of conditional probability distributions that capture the correlation between neighboring inter-element distances. Arrays constructed by sampling from these conditional distributions yield a reduced variance in the side lobe amplitudes, using fewer elements than that required under the independent sampling assumption of the analytical model.
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关键词
Elements;Linear;Array
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