Polyomino-Shaped Subarrays for Time Delay Control of Planar Arrays

Mailloux, Robert J.; Santarelli, Scott; Roberts, Thomas M.

doi:10.1109/aps.2006.1710827

Cited by 5 publications

(5 citation statements)

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“…Note that there no constraints on subarray configuration in (19). Thus, this antenna pattern calculation method is applicable for any subarray architectures.…”

Section: Antenna Patternmentioning

confidence: 97%

“…Besides, conventionally, only the last stage is digital, but in principle analogue-to-digital conversion can take place between any two processing layers or not at all. For antennas with special subarray architectures, the calculation in (19) can be simplified into particular forms, such as the analysis for the overlapped multi-layer subarray shown in [18]. In fact, the key to do the further simplification is the regularity of the architecture, for example, the regularly contiguous subarrays or the periodically overlapped subarrays.…”

Section: Antenna Patternmentioning

confidence: 99%

“…elements are arranged at the lattice), one can also design the particular subarrays which are convenient for the module production. The relevant research was first described by Mailloux [19,26], who had introduced the polyomino structure to design subarrays. In [7], this paper has been developed for arbitrary lattice structure and the polyhex-shaped subarrays have been used.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the mathematics theory of the design of overlapped subarray is presented in [18] in a signal-processing viewpoint. However, the interlaced or overlapped subarrays are relatively difficult and costly to build [6,17,19]. The irregular-shaped subarray partitioning is relatively easily realised and has been studied for many years [1,20,21].…”

Section: Introductionmentioning

confidence: 99%

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Beamforming properties and design of the phased arrays in terms of irregular subarrays

Xiong

2015

IET Microwaves, Antennas & Propagation

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Large phased arrays are often organised by subarrays given the current state of technology. The irregular subarray architecture, which can effectively mitigate the quantisation lobes, has received a renewed interest in recent years. Recent researches present some innovative particular irregular subarrays to provide practical means to eliminate the quantisation lobes using several (even only one) kinds of subarray. However, there is no single, neat theory of the irregularly partitioned array antennas in the literature. This study presents some derivations of the beamforming properties for arrays with arbitrary subarray partition to fill this gap. Derivations have led us to introduce a novel approach to assess the radiation properties which is useful for the systematic design of phased arrays. Numerical experiments are carried out to validate the authors' derivations. Additionally, an elaborate example illustrates a design discipline for a limited-field-of-view array with polyominoshaped subarrays.

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“…Note that there no constraints on subarray configuration in (19). Thus, this antenna pattern calculation method is applicable for any subarray architectures.…”

Section: Antenna Patternmentioning

confidence: 97%

Section: Antenna Patternmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Beamforming properties and design of the phased arrays in terms of irregular subarrays

Xiong

2015

IET Microwaves, Antennas & Propagation

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“…In addition, we have shown that the use of polyomino-shaped subarrays can provide significant quantization lobe suppression and that the subarrays can be realized entirely in the control network that feeds the elements [14,15,16].…”

Section: Polyomino Subarraysmentioning

confidence: 99%

Application of evolutionary algorithms and neural network concepts to the design of low-cost, wideband antenna arrays

Santarelli

Mailloux²,

et al. 2007

SPIE Proceedings

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. (From -To) REPORT DATE (DD-MM-YYYY) 23-08-2007 REPORT TYPE: Conference Paper DATES COVERED SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)Electromagnetics Technology Division Source Code: 437490 SPONSOR/MONITOR'S ACRONYM(S)Sensors Directorate AFRL-SN-HS Air Force Research Laboratory 80 Scott Drive Hanscom AFB MA 01731-2909 SPONSOR/MONITOR'S REPORT NUMBER(S) AFRL-SN-HS-TP-2007-0010 DISTRIBUTION / AVAILABILITY STATEMENTStatement A: Approved for Public Release; distribution unlimited. SUPPLEMENTARY NOTES This work is copyrighted. © [2007] Society of Photo-Optical Instrumentation Engineers (SPIE). Presented at 2007 SPIE Defense andSecurity Symposium, Orlando, FL, 9 -13 April 2007. One or more of the authors is a U.S. Government employee working within the scope of their Government job; therefore, the U.S. Government is joint owner of the work and has the right to copy, distribute, and use the work. This work is supported by AFOSR; ESC/PA clearance: ESC 07-0394 ABSTRACTThis paper describes the application of biologically-inspired algorithms and concepts to the design of wideband antenna arrays. In particular, we address two specific design problems. The first involves the design of a constrained-feed network for a Rotman-lens beamformer. We implemented two evolutionary optimization (EO) approaches, namely a simple genetic algorithm (SGA) and a competent genetic algorithm. We conducted simulations based on experimental data, which effectively demonstrate that the competent GA outperforms the SGA (i.e., finds a better design solution) as the objective function becomes less specific and more "general." The second design problem involves the implementation of polyomino-shaped subarrays for sidelobe suppression of large, wideband planar arrays. We use a modified screen-saver code to generate random polyomino tilings. A separate code assigns array values to each element of the tiling (i.e., amplitude, phase, time delay, etc.) and computes the corresponding far-field radiation pattern. In order to conduct a statistical analysis of pattern characteristics vs. tiling geometry, we needed a way to measure the "similari...

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A Sparse Array for 77 GHz 4D High-Resolution Imaging Radar Based on Entropy Model and Convex Optimization

Niu

Cheng

et al. 2021

2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)

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Polyomino-Shaped Subarrays for Time Delay Control of Planar Arrays

Cited by 5 publications

References 1 publication

Beamforming properties and design of the phased arrays in terms of irregular subarrays

Beamforming properties and design of the phased arrays in terms of irregular subarrays

Application of evolutionary algorithms and neural network concepts to the design of low-cost, wideband antenna arrays

A Sparse Array for 77 GHz 4D High-Resolution Imaging Radar Based on Entropy Model and Convex Optimization

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