A 0.9-20 GHz Image Rejection Receiver for Software-Defined Radios

Author(s):  
Shilpa Mehta ◽  
Xue Jun Li
Author(s):  
Anh-Tuan Phan ◽  
Chang-Wan Kim ◽  
Min-Suk Kang ◽  
Mun-Suk Chong ◽  
Sang-Gug Lee ◽  
...  
Keyword(s):  

2021 ◽  
pp. 1-1
Author(s):  
Zhiyao Jia ◽  
Guangyi Li ◽  
Difei Shi ◽  
Ming Li ◽  
Ning Hua Zhu ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1105
Author(s):  
Antonio D. Martinez-Perez ◽  
Francisco Aznar ◽  
Guillermo Royo ◽  
Santiago Celma

In the current state of the art, WiFi-alike standards require achieving a high Image Rejection Ratio (IRR) while having low power consumption. Thus, quadrature structures based on passive ring mixers offer an attractive and widely used solution, as they can achieve a high IRR while being a passive block. However, it is not easy for the designer to know when a simple quadrature scheme is enough and when they should aim for a double quadrature structure approach, as the latter can improve the performance at the cost of requiring more area and complexity. This study focuses on the IRR, which crucially depends on the symmetry between the I and Q branches. Non-idealities (component mismatches, parasitics, etc.) will degrade the ideal balance by affecting the mixer and/or following/previous stages. This paper analyses the effect of imbalances, providing the constraints for obtaining a 40 dB IRR in the case of a conversion from a one-hundred-megahertz signal to the five-gigahertz range (upconversion) and vice versa (downconversion) for simple and double quadrature schemes. All simulations were carried out with complete device models from 65 nm standard CMOS technology and also a post-layout Monte Carlo analysis was included for mismatch analysis. The final section includes guidelines to help designers choose the most adequate scheme for each case.


1983 ◽  
Vol 19 (21) ◽  
pp. 902
Author(s):  
S.J. Greenhalgh ◽  
J.B. Swift ◽  
J.R. Cockrill

2021 ◽  
Vol 22 (3) ◽  
pp. 46-56
Author(s):  
Georg Saxl ◽  
Lukas Goertschacher ◽  
Thomas Ussmueller ◽  
Jasmin Grosinger

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