Design of a compact microwave absorber using parameter retrieval method for wireless communication applications

2018 ◽  
Vol 12 (6) ◽  
pp. 977-985 ◽  
Author(s):  
Kumud Ranjan Jha ◽  
Ghanshyam Mishra ◽  
Satish K. Sharma
Keyword(s):  
Wireless Communication ◽  
Microwave Absorber ◽  
Retrieval Method ◽  
Parameter Retrieval

Data Broadcasting in a Mobile Environment

2011 ◽  
pp. 96-154 ◽  
Author(s):  
A.R. Hurson ◽  
Y. Jiao
Keyword(s):  
Wireless Communication ◽  
Mobile Devices ◽  
High Performance ◽  
Data Access ◽  
Data Retrieval ◽  
Mobile Environment ◽  
Retrieval Method ◽  
Shared Data ◽  
Communication Techniques ◽  
Public Data

The advances in mobile devices and wireless communication techniques have enabled anywhere, anytime data access. Data being accessed can be categorized into three classes: private data, shared data, and public data. Private and shared data are usually accessed through on-demand-based approaches, while public data can be most effectively disseminated using broadcasting. In the mobile computing environment, the characteristics of mobile devices and limitations of wireless communication technology pose challenges on broadcasting strategy as well as data-retrieval method designs. Major research issues include indexing scheme, broadcasting over single and parallel channels, data distribution and replication strategy, conflict resolution, and data retrieval method. In this chapter, we investigate solutions proposed for these issues. High performance and low power consumption are the two main objectives of the proposed schemes. Comprehensive simulation results are used to demonstrate the effectiveness of each solution and compare different approaches.

An Ultrathin and Ultrawideband Metamaterial Absorber and an Equivalent-Circuit Parameter Retrieval Method

2020 ◽  
Vol 68 (5) ◽  
pp. 3739-3746 ◽  
Author(s):  
Jose Bruno O. de Araujo ◽  
Glaucio L. Siqueira ◽  
Erich Kemptner ◽  
Mauricio Weber ◽  
Cynthia Junqueira ◽  
...  
Keyword(s):  
Equivalent Circuit ◽  
Metamaterial Absorber ◽  
Circuit Parameter ◽  
Retrieval Method ◽  
Parameter Retrieval ◽  
Equivalent Circuit Parameter

scholarly journals Predicting double negativity using transmitted phase in space coiling metamaterials

2018 ◽  
Vol 5 (5) ◽  
pp. 171042 ◽  
Author(s):  
Santosh K. Maurya ◽  
Abhishek Pandey ◽  
Shobha Shukla ◽  
Sumit Saxena
Keyword(s):  
Acoustic Waves ◽  
Negative Refraction ◽  
Acoustic Properties ◽  
Propagation Path ◽  
Elastic Response ◽  
Acoustic Metamaterials ◽  
Effective Response ◽  
Retrieval Method ◽  
S Parameter ◽  
Parameter Retrieval

Metamaterials are engineered materials that offer the flexibility to manipulate the incident waves leading to exotic applications such as cloaking, extraordinary transmission, sub-wavelength imaging and negative refraction. These concepts have largely been explored in the context of electromagnetic waves. Acoustic metamaterials, similar to their optical counterparts, demonstrate anomalous effective elastic properties. Recent developments have shown that coiling up the propagation path of acoustic wave results in effective elastic response of the metamaterial beyond the natural response of its constituent materials. The effective response of metamaterials is generally evaluated using the ‘S’ parameter retrieval method based on amplitude of the waves. The phase of acoustic waves contains information of wave pressure and particle velocity. Here, we show using finite-element methods that phase reversal of transmitted waves may be used to predict extreme acoustic properties in space coiling metamaterials. This change is the difference in the phase of the transmitted wave with respect to the incident wave. This method is simpler when compared with the more rigorous ‘S’ parameter retrieval method. The inferences drawn using this method have been verified experimentally for labyrinthine metamaterials by showing negative refraction for the predicted band of frequencies.

An electromagnetic parameter retrieval method based on deep learning

2020 ◽  
Vol 127 (22) ◽  
pp. 224902
Author(s):  
Siqi Huang ◽  
Zilong Cao ◽  
Helin Yang ◽  
Zhaoyang Shen ◽  
Xiaoxia Ding
Keyword(s):  
Deep Learning ◽  
Electromagnetic Parameter ◽  
Retrieval Method ◽  
Parameter Retrieval

scholarly journals Causal homogenization of metamaterials

Nanophotonics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 1063-1069 ◽  
Author(s):  
SeokJae Yoo ◽  
Suyeon Lee ◽  
Jong-Ho Choe ◽  
Q-Han Park
Keyword(s):  
Effective Thickness ◽  
Causality Condition ◽  
Phase Ambiguity ◽  
Effective Parameters ◽  
Retrieval Method ◽  
Minimum Error ◽  
Homogenization Scheme ◽  
Logarithm Function ◽  
Parameter Retrieval ◽  
Error Condition

AbstractWe propose a homogenization scheme for metamaterials that utilizes causality to determine their effective parameters. By requiring the Kramers-Kronig causality condition in the homogenization of metamaterials, we show that the effective parameters can be chosen uniquely, in contrast to the conventional parameter retrieval method which has unavoidable phase ambiguity arising from the multivalued logarithm function. We demonstrate that the effective thickness of metamaterials can also be determined to a specific value by saturating the minimum-error condition for the causality restriction. Our causal homogenization provides a robust and accurate characterization method for metamaterials.

Data Broadcasting in a Mobile Environment

2009 ◽  
pp. 3079-3129
Author(s):  
A. R. Hurson ◽  
Y. Jiao
Keyword(s):  
Wireless Communication ◽  
Mobile Devices ◽  
High Performance ◽  
Data Access ◽  
Data Retrieval ◽  
Mobile Environment ◽  
Retrieval Method ◽  
Shared Data ◽  
Communication Techniques ◽  
Public Data

The advances in mobile devices and wireless communication techniques have enabled anywhere, anytime data access. Data being accessed can be categorized into three classes: private data, shared data, and public data. Private and shared data are usually accessed through on-demandbased approaches, while public data can be most effectively disseminated using broadcasting. In the mobile computing environment, the characteristics of mobile devices and limitations of wireless communication technology pose challenges on broadcasting strategy as well as data-retrieval method designs. Major research issues include indexing scheme, broadcasting over single and parallel channels, data distribution and replication strategy, conflict resolution, and data retrieval method. In this chapter, we investigate solutions proposed for these issues. High performance and low power consumption are the two main objectives of the proposed schemes. Comprehensive simulation results are used to demonstrate the effectiveness of each solution and compare different approaches.

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