Design of Beam-Forming Networks for Scannable Multi-Beam Antenna Arrays Using Corps

Panduro, Marco A.; Bocio, Carlos del Río

doi:10.2528/pier08070403

Cited by 34 publications

(26 citation statements)

References 19 publications

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“…These arrays have been widely used in applications, such as multi-functional radars and communication systems [1]. Many practical methods have been introduced in the past to produce a reconfigurable aperture with multiple patterns, including multi-mode feeding technologies for reflector antennas [2], and some multi-beam forming networks for antenna arrays [3][4][5][6]. Other studies focus on the design of phasedifferentiated antenna arrays using some sophisticated synthesis methods, such as alternating projection approaches [7,8], stochastic optimization algorithms [9][10][11], and some other techniques [12,13].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Sparse or Thinned Linear and Planar Arrays Generating Reconfigurable Multiple Real Patterns by Iterative Linear Programming

You¹,

Zhu

Tan³

et al. 2016

PIER

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Abstract-It is shown in this paper that the problem of reducing the number of elements for multiplepattern arrays can be solved by a sequence of reweighted 1 optimizations under multiple linear constraints. To do so, conjugate symmetric excitations are assumed so that the upper and lower bounds for each pattern can be formulated as linear inequality constraints. In addition, we introduce an auxiliary variable for each element to define the common upper bound of both the real and imaginary parts of multiple excitations for different patterns, so that only linear inequality constraints are required. The objective function minimizes the reweighted 1 -norm of these auxiliary variables for all elements. Thus, the proposed method can be efficiently implemented by the iterative linear programming. For multiple desired patterns, the proposed method can select the common elements with multiple set of optimized amplitudes and phases, consequently reducing the number of elements. The radiation characteristics for each pattern, such as the mainlobe shape, response ripple, sidelobe level and nulling region, can be accurately controlled. Several synthesis examples for linear array, rectangular/triangular-grid and randomly spaced planar arrays are presented to validate the effectiveness of the proposed method in the reduction of the number of elements.

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Section: Introductionmentioning

confidence: 99%

Synthesis of Sparse or Thinned Linear and Planar Arrays Generating Reconfigurable Multiple Real Patterns by Iterative Linear Programming

You¹,

Zhu

Tan³

et al. 2016

PIER

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show abstract

“…The FPGA consists of DSP Block, Block RAM and LE resource, which can be configured as hardware multiplier and software multiplier to satisfy the multiplier-and-sum demand of beamforming network. And its distributed architecture and pins in plenty are fit for the parallel array signal processing [26,27]. To reduce the effect of SEU, many antiradiation technologies utilized on FPGA are adopted, such as TMR design and configuration data check by CRC code.…”

Section: Hardware Platform Of Digital Beamforming Networkmentioning

confidence: 99%

Development of 61-Channel Digital Beamforming (Dbf) Transmitter Array for Mobile Satellite Communication

Li¹,

Gong²,

Liu³

et al. 2009

PIER

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Abstract-An 61-channel digital beamforming transmitter array antenna used in mobile satellite communication is presented in this paper.It can steer 16 beams simultaneously. The interface, architecture and subunits are described in detail. Standard hexagonal array (SHA) and 61-channel RF front ends are designed. Genetic Algorithm is adopted to realize the pattern synthesis with mutiobjective optimization. The signal flow and hardware platform of the digital beamforming network are discussed, which can complete the high speed array signal processing with maximum throughput of 34.16 Gbps. A novel calibration scheme with high feasibility of project implementation is also proposed. The measurements of array antenna match well with simulation result, which validates the rationality and feasibility of the algorithms.

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“…Therefore, we should resort the other approaches to estimate the unwrapped phase. In this paper, we exploit the robust beamforming approach [17][18][19][20][21] to estimate the unwrapped phase.…”

Section: Signal Model and Problem Statementmentioning

confidence: 99%

Application of Array Processing Techniques in Multibaseline Insar for High-Resolution Dem Reconstruction

Mao¹,

Liao²

2008

PIER M

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Abstract-This work is concerned with generating the digital elevation models (DEMs) from the SAR images of the region of interest using multiple sensor arrays that are fixed on the distributed satellites. We present an exact estimate of the unwrapped phase and the relationship between the unwrapped phase and the terrain height. The optimum scheme that jointly processes the signals from all sensors is based on the model of the multibaseline joint block vector. The method can simultaneously coregister the SAR images, phase unwrapping and DEM generation in the presence of the large coregistration errors. The performance of our approach is verified by a series of simulation experiments based on the distributed sensor arrays.

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Design of Beam-Forming Networks for Scannable Multi-Beam Antenna Arrays Using Corps

Cited by 34 publications

References 19 publications

Synthesis of Sparse or Thinned Linear and Planar Arrays Generating Reconfigurable Multiple Real Patterns by Iterative Linear Programming

Synthesis of Sparse or Thinned Linear and Planar Arrays Generating Reconfigurable Multiple Real Patterns by Iterative Linear Programming

Development of 61-Channel Digital Beamforming (Dbf) Transmitter Array for Mobile Satellite Communication

Application of Array Processing Techniques in Multibaseline Insar for High-Resolution Dem Reconstruction

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