Designs for wide band antennas with parasitic elements and a method to optimize their design using a genetic algorithm and fast integral equation technique
First Claim
1. A method of designing omni-directional, broadband antennas, comprising the following steps:
- providing at least one design parameter for a driven antenna structure as input to an algorithmic process, comprising a genetic algorithm;
executing said algorithmic process to determine size and position of parasitic elements for combination with said driven antenna structure to create improved antenna configurations, characterized by a central antenna portion surrounded by a plurality of parasitic elements forming a sleeve configuration; and
identifying selected of said improved antenna configurations as optimum configurations based on a determined fitness value for each improved antenna configuration.
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Abstract
A method for applying an algorithm to facilitate the design of wideband omnidirectional antennas, and the design of sleeve cage monopole and sleeve helix units includes rapid resolution of a complex relationship among antenna components to yield an optimal system. A genetic algorithm is used with fitness values for design factors expressed in terms to yield optimum combinations. Cage antennas are optimized via a genetic algorithm for operation over a wide band with low VSWR. Genetic algorithms and an integral equation solver are employed to determine the position and lengths of parasitic wires around a cage antenna in order to minimize VSWR over a band. The cage may be replaced by a normal mode quadrifilar helix for height reduction and with re-optimized parasites.
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Citations
19 Claims
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1. A method of designing omni-directional, broadband antennas, comprising the following steps:
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providing at least one design parameter for a driven antenna structure as input to an algorithmic process, comprising a genetic algorithm; executing said algorithmic process to determine size and position of parasitic elements for combination with said driven antenna structure to create improved antenna configurations, characterized by a central antenna portion surrounded by a plurality of parasitic elements forming a sleeve configuration; and identifying selected of said improved antenna configurations as optimum configurations based on a determined fitness value for each improved antenna configuration. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for designing a sleeve antenna structure characterized by omni-directional capabilities over a generally wide frequency range, comprising:
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defining initial antenna parameters and providing a corresponding range of potential values for selected of said initial antenna parameters; executing a first iteration of an algorithmic process, comprising a genetic algorithm to generate a population of individual antenna designs, characterized by a central antenna portion surrounded by a plurality of parasitic elements such that selected individual antenna designs of said population of individual antenna designs are assigned fitness values that relate to a bandwidth ratio of the highest frequency to lowest frequency within a selected frequency range of operation for which voltage standing wave ratios are less than some predetermined value; evaluating said population of individual antenna designs and selecting certain of said individual antenna designs as having optimum fitness values; and executing at least a second iteration of said algorithmic process to generate an additional population of individual antenna designs with corresponding fitness values assigned to selected individual antenna designs of said additional population. - View Dependent Claims (10, 11, 12, 13)
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14. A process for designing and producing antennas, comprising the steps of:
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providing a genetic algorithm as a design algorithm; providing general antenna parameters and a corresponding range of potential values for selected of said general antenna parameters for input to said design algorithm; specifying the resolution of selected of said general antenna parameters; performing a first iteration of said design algorithm to generate a population of individual antenna designs, wherein selected of said individual antenna designs are characterized as having a sleeve configuration with a central antenna portion surrounded by a plurality of parasitic element, and wherein each individual antenna of said population of individual antenna designs is assigned a fitness value; evaluating said fitness values of selected of said individual antenna designs to determine which of said antenna designs are characterized by optimum fitness values; performing at least a second iteration of said design algorithm to generate an additional population of individual antenna designs, wherein selected of said individual antenna designs are identified as having most optimum fitness values; and providing an antenna having parameters corresponding to those of a selected individual antenna design identified as having a most optimum fitness value. - View Dependent Claims (15, 16, 17, 18, 19)
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Specification