2014 22nd Iranian Conference on Electrical Engineering (ICEE) 2014
DOI: 10.1109/iraniancee.2014.6999491
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Adaptive CMOS LNA using highly tunable active inductor

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Cited by 15 publications
(5 citation statements)
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“…Because of the merits of low noise figures, better linearity, high gain, and good I/O matching, circuits with inductive feedback have been widely used in the wireless transceiver system. In LNA with source inductance negative feedback, the gain, NF, and the impedance matching of the LNA could be optimized, [18]. In recent times, the LNA has been designed for multiband wireless applications, where AI has been used to check the characteristics at lower technology and the phase shifting property that can be used in shifters is indicated in, [19].…”
Section: Low Noise Amplifiermentioning
confidence: 99%
“…Because of the merits of low noise figures, better linearity, high gain, and good I/O matching, circuits with inductive feedback have been widely used in the wireless transceiver system. In LNA with source inductance negative feedback, the gain, NF, and the impedance matching of the LNA could be optimized, [18]. In recent times, the LNA has been designed for multiband wireless applications, where AI has been used to check the characteristics at lower technology and the phase shifting property that can be used in shifters is indicated in, [19].…”
Section: Low Noise Amplifiermentioning
confidence: 99%
“…This results in a substantial increase in the die area and implementation costs. In addition, tunable active inductors have been explored in [7,8] to overcome the low quality factor of inductors and their large area consumption on chip. However, the drawbacks associated with the use of active inductor are higher power consumption and nonlinearity [9].…”
Section: Introductionmentioning
confidence: 99%
“…Active inductors (AIs) synthesized by transistors have attracted increasing interest due to a number of unique advantages over its spiral counterpart including small chip area consumption, large inductance with wide tuning range, large and tunable quality factor, and high self-resonant frequency. [1][2][3][4][5] The popular synthesis method of AI is based on Gyrator-C principle. A gyrator consists of two back-to-back connected transistors as transconductors, and input capacitance C π of one transconductor acts as the load of the other transconductor, [1,6] then the gyrator-C behaves as a single-ended inductor.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5] The popular synthesis method of AI is based on Gyrator-C principle. A gyrator consists of two back-to-back connected transistors as transconductors, and input capacitance C π of one transconductor acts as the load of the other transconductor, [1,6] then the gyrator-C behaves as a single-ended inductor. Therefore, the performance of transistors has a decisive effect on the performance of active inductor.…”
Section: Introductionmentioning
confidence: 99%
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