Simultaneous Transmit and Receive with Shared-Aperture Arrays

Samaiyar, Aman; Son, Dong-Chan; Elmansouri, Mohamed A.; Filipović, Dejan S.

doi:10.23919/aces49320.2020.9196091

Cited by 4 publications

(2 citation statements)

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“…They also explored how to optimally divide the array into transmit and receive apertures by applying a genetic algorithm (GA) [ 24 ]. Samaiyar et al [ 25 ] designed the array layout of a 10 × 10 micro-strip patch antenna array, with 50 antenna elements used for transmission and another 50 antenna elements used for reception. They achieved improved transmit-receive isolation through a sparse array design.…”

Section: Introductionmentioning

confidence: 99%

A Sparse Shared Aperture Design for Simultaneous Transmit and Receive Arrays with Beam Constraints

Wei

Xie

et al. 2023

Sensors

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The utilization of efficient digital self-interference cancellation technology enables the simultaneous transmit and receive (STAR) phased array system to meet most application requirements through STAR capabilities. However, the development of application scenario requirements makes array configuration technology for STAR phased arrays increasingly important. Thus, this paper proposes a sparse shared aperture STAR reconfigurable phased array design based on beam constraints which are achieved by a genetic algorithm. Firstly, a design scheme for transmit and receive arrays with symmetrical shared apertures is adopted to improve the aperture efficiency of both transmit and receive arrays. Then, on the basis of shared aperture, sparse array design is introduced to further reduce system complexity and hardware costs. Finally, the shape of the transmit and receive arrays is determined by constraining the side lobe level (SLL), main lobe gain, and beam width. The simulated results indicate that the SLL of the transmit and receive patterns under beam-constrained design have been reduced by 4.1 dBi and 7.1 dBi, respectively. The cost of SLL improvement is a reduction in transmit gain, receive gain, and EII of 1.9 dBi, 2.1 dBi, and 3.9 dB, respectively. When the sparsity ratio is greater than 0.78, the SLL suppression effect is also significant, and the attenuation of EII, transmit, and receive gains do not exceed 3 dB and 2 dB, respectively. Overall, the results demonstrate the effectiveness of a sparse shared aperture design based on beam constraints in producing high gain, low SLL, and low-cost transmit and receive arrays.

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Section: Introductionmentioning

confidence: 99%

A Sparse Shared Aperture Design for Simultaneous Transmit and Receive Arrays with Beam Constraints

Wei

Xie

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…However, few researchers focused on the effect of the sparse arrays on STAR. In [24], Samaiyar et al explored the impact of the sparse arrays in isolation of STAR antenna array. They proposed a sparse arrays configuration that achieved an improvement in isolation of 20 dB compared to a uniform array.…”

Section: Introductionmentioning

confidence: 99%

A Sparse Design for Aperture-Level Simultaneous Transmit and Receive Arrays

Wei

Xie

et al. 2022

Electronics

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The aperture-level simultaneous transmit and receive (ALSTAR) system uses full digital architecture with an observation channel to achieve remarkably effective isotropic isolation (EII). However, the number of observation channels must be the same as the number of transmit channels, which increases the system’s complexity. To balance the system cost and performance of the ALSTAR, this paper proposes a joint design of sparse arrays and beamforming, which are achieved by a genetic algorithm and an alternating optimization algorithm, respectively. In the sparse design, we introduce beamforming technology to guarantee the EII while decreasing the corresponding elements of observation channel that contribute slightly to the EII. The simulation results are presented for a 32-element array that achieves 185.87 dB of the EII with 1000 W of transmit power. In the cases of sparsity rates at 0.875 and 0.75 (≥0.6), i.e., the number of observation channels decreases by 12.5% (2/16) and 25% (4/16), the reductions in EII do not exceed 1 dB and 3 dB, respectively. However, the EII decreases rapidly with a sparsity rate less than 0.25. Results demonstrate that our proposed joint design of sparse arrays and beamforming can reduce the system cost with little performance loss of EII.

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