2019
DOI: 10.1049/iet-cds.2018.5291
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Design and optimisation of feedforward noise cancelling complementary metal oxide semiconductor LNA for 2.4 GHz WLAN applications

Abstract: This study deals with the design and optimisation of two-stage complementary metal oxide semiconductor low noise amplifier (LNA) for wireless local area network (WLAN) applications. IEEE 802.11n WLAN standard provides up to 600 Mbps speed with 40 MHz channel bandwidth and high throughput. The receiver of these WLAN applications requires LNA with higher gain and minimum noise figure (NF). Elephant Herding Optimisation technique was involved for the first time to optimise the performance of the LNA. The post-lay… Show more

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Cited by 11 publications
(4 citation statements)
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“…19 Since the LNAs of different technology nodes are compared with the proposed work, Z N in is taken for the channel length normalization. FoM I is calculated by considering the gain, frequency, NF, DC power consumption, and the normalized input impedance (33).…”
Section: Results and Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…19 Since the LNAs of different technology nodes are compared with the proposed work, Z N in is taken for the channel length normalization. FoM I is calculated by considering the gain, frequency, NF, DC power consumption, and the normalized input impedance (33).…”
Section: Results and Analysismentioning
confidence: 99%
“…The voltage gain of the second stage (A v2 ) is determined as in Equation (18), and it is tuned to the 2.3 GHz of frequency. It is improved by increasing the e 4 , which increases with the load inductance L 7 (19).…”
Section: Gain Calculationmentioning
confidence: 99%
See 1 more Smart Citation
“…In the second one, multiple channels are sensed simultaneously. 17 In the second condition, the optimization problem arises, and it can be converted to a solvable convex optimization problem. 18 The sub-problems can be solved by employing special matrices and reformation techniques.…”
Section: Introductionmentioning
confidence: 99%