Unequally-spaced, broad-band antenna arrays

King, Daniel J.; Packard, R. E.; Thomas, Robert F.

doi:10.1109/tap.1960.1144876

Cited by 139 publications

(49 citation statements)

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“…This paper will refer to the subarray with M sensors and intersensor spacing Nλ/2 as subarray 1 and the subarray with N sensors and intersensor spacing Mλ/2 as subarray 2. Figure 1a depicts two subarrays with coprime pair (4,5). Figure 1b shows how the CSA interleaves the two subarrays to obtain a non-uniform linear array.…”

Section: Coprime Sensor Arraysmentioning

confidence: 99%

“…Several studies have suggested that non-uniform linear arrays may outperform a ULA in terms of number of sensors, resolution, or side lobe attenuation [4][5][6][7][8][9][10][11]. Most non-uniform linear array designs have more than a half wavelength average intersensor spacing.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, these non-uniform linear arrays are more efficient than their uniform counterparts. However, none of the methods in [4][5][6][7][8][9][10][11] offer a closed form expression for the sensor locations. The consistent interelement spacing of ULAs make these arrays significantly simpler to assemble and maintain than the highly variable interelement spacings required in many non-uniform linear arrays.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Extending coprime sensor arrays to achieve the peak side lobe height of a full uniform linear array

Adhikari

Buck

Wage

2014

EURASIP J. Adv. Signal Process.

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A coprime sensor array (CSA) is a non-uniform linear array obtained by interleaving two uniform linear arrays (ULAs) that are undersampled by coprime factors. A CSA provides the resolution of a fully populated ULA of the same aperture using fewer sensors. However, the peak side lobe level in a CSA is higher than the peak side lobe of the equivalent full ULA with the same resolution. Adding more sensors to a CSA can reduce its peak side lobe level. This paper derives analytical expressions for the number of extra sensors to be added to a CSA to guarantee that the CSA peak side lobe height is less than that of the full ULA with the same aperture. The analytical expressions are derived and compared for the uniform, Hann, Hamming, and Dolph-Chebyshev shadings.

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Section: Coprime Sensor Arraysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Extending coprime sensor arrays to achieve the peak side lobe height of a full uniform linear array

Adhikari

Buck

Wage

2014

EURASIP J. Adv. Signal Process.

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“…Sandrin and Hague [6] have suggested the method to maximize amplitude of the excitation element in linear array when specified sidelobe and/or beamwidth constraints are required by the use of nonuniform element spacings. However, for King, Packard and Thomas [7], the method was used to reduce the grating lobes and the results of using unequal spacing in a linear array are promising. In this paper, numerical data of reduction of sidelobe level using unequally spaced arrays to avoid a complicated feed network is presented.…”

Section: Introductionmentioning

confidence: 99%

Sidelobe reduction of unequally spaced arrays for 5G applications

Zainal

Kamarudin

Yamada

et al. 2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

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Abstract-Unequally spaced arrays technique offers an alternative for limited sidelobe level reduction compared to conventional array antennas with equally spaced elements. In this paper, the abilities and design of microstrip linear array antenna, fed by multiport feeding with uniform excitation coefficient in all array elements are presented for sidelobe level reduction at 28 GHz. By using the proximity coupled feed, simulation result gave -10 dB impedance bandwidth of 1.42 GHz and reflection coefficient of -35.5 dB has been achieved. The sidelobe level at broadside decreased from -11.77 dB to -14.76 dB (N = 4) and -12.77 dB to -15.98 dB (N = 8) with unequally spaced array. This feature is suitable for 5G applications.Index Terms-5G antenna mobile, millimeter wave, unequally spaced array.

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“…Major focus of earlier research on thinned arrays has been to consider the array as non-uniform/aperiodic and find antenna element positions/inter element spacings using various techniques [1][2][3][4]. Most of these methods used analytical techniques to design.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Thinning of Antenna Array Using Genetic Algorithm

Jain¹,

Mani²

2011

PIER B

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Abstract-Thinning is a technique by which the total number of active elements in an antenna array is reduced without causing major degradation in system performance. Dynamic thinning is the process of achieving this under real time conditions. Stochastic techniques have been useful in the design of thinned arrays. However while applying the technique to large 2-D arrays, under changing conditions problems arise due to the very large and rugged solution space. Also, evaluation of the objective function in such cases requires large computational resources, thus reducing the rate of convergence. This paper suggests a technique using Genetic Algorithm which is useful for overcoming these problems. After discussing the basic concept involving dynamic thinning and application methodology, simulation results of applying the technique to linear and planar arrays are presented.

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Unequally-spaced, broad-band antenna arrays

Cited by 139 publications

References 0 publications

Extending coprime sensor arrays to achieve the peak side lobe height of a full uniform linear array

Extending coprime sensor arrays to achieve the peak side lobe height of a full uniform linear array

Sidelobe reduction of unequally spaced arrays for 5G applications

Dynamic Thinning of Antenna Array Using Genetic Algorithm

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