Abstract
In this paper, we study the application of precoding schemes on practical electronically steerable parasitic array radiators (ESPARs), where quantized load impedances are considered for each antenna element. The presence of quantization in the loads results in a performance loss for practical ESPARs. To alleviate the performance loss, we propose to approximate the ideal current vector with convex optimization, where it is further shown that the optimality is achieved by optimizing the feeding voltages only. Specifically, we obtain the closed-form expression when single-fed ESPARs are assumed. Numerical results show that the proposed quantization-robust scheme can achieve a significant performance gain over ESPARs with quantized loads.
Original language | English |
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Title of host publication | 25th European Signal Processing Conference (EUSIPCO) |
Publisher | IEEE |
Pages | 1699-1703 |
Number of pages | 5 |
ISBN (Electronic) | 9780992862671 |
DOIs | |
Publication status | Published - 26 Oct 2017 |
Event | 25th European Signal Processing Conference 2017 - Greece, Kos, Greece Duration: 28 Aug 2017 → 2 Sept 2017 http://www.eusipco2017.org/ |
Publication series
Name | European Signal Processing Conference |
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Publisher | IEEE |
ISSN (Electronic) | 2076-1465 |
Conference
Conference | 25th European Signal Processing Conference 2017 |
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Abbreviated title | EUSIPCO |
Country/Territory | Greece |
City | Kos |
Period | 28/08/17 → 2/09/17 |
Internet address |
Keywords
- ESPARs
- MIMO
- Optimization
- Quantization
ASJC Scopus subject areas
- Signal Processing