Frequency-domain and time-domain performance enhancements of ultra-wideband antennas using multiobjective optimization techniques

Author(s):  
Yen-Sheng Chen
Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4302 ◽  
Author(s):  
Amir Haider ◽  
MuhibUr Rahman ◽  
Mahdi Naghshvarianjahromi ◽  
Hyung Seok Kim

This paper investigates the time-domain performance of a switchable filter impulse radio ultra-wideband (IR-UWB) antenna for microwave breast imaging applications. A miniaturized CPW-fed integrated filter antenna with switchable performance in the range of the Worldwide Interoperability for Microwave Access (WiMAX) and Wireless Local Area Network (WLAN) bands could operate well within a 3.0 to 11 GHz frequency range. The time-domain performance of the filter antenna was investigated in comparison to that of the designed reference wideband antenna. By comparing both antennas’ time-domain characteristics, it was seen that the switchable filter antenna had good time-domain resolution along with the frequency-domain operation. Additionally, the time-domain investigation revealed that the switchable filter wide-band antenna performed similarly to the reference wide band antenna. This antenna was also utilized for a tumor detection application, and it was seen that the switchable filter wide-band antenna could detect a miniaturized irregularly shaped tumor easily, which is quite promising. Such an antenna with a good time-domain resolution and tumor detection capability will be a good candidate and will find potential applications in microwave breast imaging.


2011 ◽  
Vol 23 (5) ◽  
pp. 1312-1314
Author(s):  
易超龙 Yi Chaolong ◽  
朱四桃 Zhu Sitao ◽  
樊亚军 Fan Yajun ◽  
夏文锋 Xia Wenfeng

2014 ◽  
Vol 591 ◽  
pp. 163-166
Author(s):  
Syamimi Mardiah Shaharum ◽  
Kenneth Sundaraj

In this Paper, the Comparison between the Performance of Wheezes Data Processing in the Frequency Domain and in the Time Domain is Evaluated Using K-Nearest Neighbor (KNN). the Purpose of this Paper is to Clarify the Confusion Regarding the Methods Used Nowadays, as many of the Previous Researchers have Stated that Wheezes Data are Better Processed in the Frequency Domain due to its Dominant Frequency Peaks but Not a Single Researcher has Made a Direct Comparison to Prove the Reliability of the Method Used. from the Evaluation Made, the Result Shows that the Performance of Wheeze Data Processed in the Frequency Domain is Better as Compared to the Data Processed in the Time Domain. A High Performance Accuracy with 97% is Obtained Comparing to an Accuracy Percentage of 83.13% were only Achieved by Using the Time Domain Data. Thus, this Paper has Successfully Made a Comparison between the Domains Proving the Reliability of the Frequency Domain for Wheeze Detection.


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