Sidelobe control in cylindrical arrays

Sureau, J.-C.; Keeping, K.

doi:10.1109/tap.1982.1142903

Cited by 33 publications

(9 citation statements)

References 3 publications

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“…Furthermore, when constraints are needed, the pattern synthesis problem can be formulated as subject to where is the constraint matrix and is the constraint vector. The solution for optimal weight vector is (7) The error is found to be [10] where is the minimized error…”

Section: The Problem Formulationmentioning

confidence: 99%

“…In the third example, the synthesized pattern for a 41element nonuniform linear array has a flat top and a notch in the sidelobe region as shown in Fig. 14. Constraints can also be incorporated to place nulls in sidelobe regions by using (7) instead of (4). The fourth example is a multibeam pattern synthesis for the same array as the third example.…”

Section: Andmentioning

confidence: 99%

“…A different approach to synthesis is to apply adaptive array theory. In an early paper, Sureau and Keeping [7] employed adaptive array techniques to synthesize the patterns for cylindrical arrays. The imaginary jammer powers were varied depending on desired sidelobe levels.…”

Section: Introductionmentioning

confidence: 99%

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Pattern synthesis for arbitrary arrays using an adaptive array method

Zhou

Ingram

1999

IEEE Trans. Antennas Propagat.

152

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This paper presents a new pattern synthesis algorithm for arbitrary arrays based on adaptive array theory. With this algorithm, the designer can efficiently control both mainlobe shaping and sidelobe levels. The element weights optimize a weighted L 2 norm between desired and achieved patterns. The values of the weighting function in the L 2 norm, interpreted as imaginary jammers as in Olen and Compton's method, are iterated to minimize exceedance of the desired sidelobe levels and minimize the absolute difference between desired and achieved mainlobe patterns. The sidelobe control can be achieved by iteration only on sidelobe peaks. In comparison to Olen and Compton's method, the new algorithm provides a great improvement in mainlobe shaping control. Example simulations, including both nonuniform linear and planar arrays, are shown to illustrate the effectiveness of this algorithm.

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Section: The Problem Formulationmentioning

confidence: 99%

Section: Andmentioning

confidence: 99%

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Pattern synthesis for arbitrary arrays using an adaptive array method

Zhou

Ingram

1999

IEEE Trans. Antennas Propagat.

152

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“…But pattern synthesize for a conformal array antenna is difficult and the mentioned methods cannot be used directly. A few methods have already been proposed for pattern synthesize of special conformal array antennas, such as using least squares method and projecting the conformal array on a one‐ or two‐dimensional array . These methods are not flexible which is needed for designers.…”

Section: Introductionmentioning

confidence: 99%

Pattern synthesize of a cylindrical conformal array antenna by PSO algorithm

Alizadeh

Hosseini

2020

Int J RF Microw Comput Aided Eng

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Pattern synthesize of conformal array antennas is often a challenging problem. Various optimization algorithms such as genetic, particle swarm optimization (PSO), and invasive weed optimization have already been used for pattern synthesizing of conformal arrays. In this paper, a focused beam is synthesized for a quarter cylindrical conformal array antenna using the PSO algorithm with small computations. The desired pattern is a focused beam at θ = 90° and ϕ = 45° with 10° beamwidth in elevation and 15° beamwidth in azimuth with −20 dB side‐lobe level. This method can be used in general for synthesizing arbitrary desired patterns and array geometries.

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“…A good review can be found in [8]. Another important class of methods is based on adaptive array algorithms [9]- [13] that adjust their patterns so as to maximize the signal to noise ratio while rejecting a set of adaptively specified interferers.…”

Section: Introductionmentioning

confidence: 99%

Optimal Narrow Beam Low Sidelobe Synthesis for Arbitrary Arrays

Fuchs¹,

Fuchs²

2010

IEEE Trans. Antennas Propagat.

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WOSInternational audienceThe classical narrow main beam and low sidelobe synthesis problem is addressed and extended to arbitrary sidelobe envelopes in both one and two dimensional scenarios. The proposed approach allows also to handle arbitrary arrays. This extended basic synthesis problem is first rewritten as a convex optimization problem. This problem is then transformed into either a linear program or a second order cone program that can be solved efficiently by readily available software. The convex formulation is not strictly equivalent to the initial synthesis problem but arguments are given that establish that the obtained optimum is either identical or can be made as close as wanted to the desired one. Finally, numerical applications and a comparison with a classical solution are presented to both confirm the optimality of the solution and illustrate the potentialities of the proposed approach

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Sidelobe control in cylindrical arrays

Cited by 33 publications

References 3 publications

Pattern synthesis for arbitrary arrays using an adaptive array method

Pattern synthesis for arbitrary arrays using an adaptive array method

Pattern synthesize of a cylindrical conformal array antenna by PSO algorithm

Optimal Narrow Beam Low Sidelobe Synthesis for Arbitrary Arrays

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