| Summary: | 碩士 === 國立臺灣大學 === 電子工程學研究所 === 106 === Nowadays, the trend of technology has gradually been leaning toward the Internet of things (IoT). Each portable thing will be inevitably connected to internet via wireless communication. In addition to the best-known smart phones, smart watches and smart glasses are also well-developed, even are many appliances, have been intelligent. All smart appliances are now controlled by smart housekeepers, like Google home and Amazon Echo. In this intellectual trend, the development of wireless communication technology is obviously more and more important.
In communications technology, engineering encounters noise problems. The noise is mainly affected by Low Noise Amplifier (LNA), which is the front-end of radio frequency (RF) circuits, thereby this paper will focus on the noise of LNA design. In addition to the general method, this paper uses a new noise calculation Method-the Noise Transformation Matrix-to study how to optimize the noise figure (NF) of the LNA. Then we apply this method to the Shunt-Shunt feedback architecture LNA. The characteristic of this architecture is wide range of frequency for impedance matching, and it can be applied to broadband LNA design. We will design a simple circuit to verify the result which is calculated by Noise Transformation Matrix. The circuit was implemented by using pHEMT 0.15um (P15) process technology. Finally, based on this theory, we will move one more step further as enhancing the design of an LNA which combines the Shunt-Shunt feedback architecture and the Source-degenerated inductor architecture to increase operating bandwidth. The circuit was implemented by using UMC 0.18um (U18) process technology.
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