Articles written in Sadhana
Volume 46 All articles Published: 17 July 2021 Article ID 0142
Low power flipped voltage follower current mirror with improved input output impedances
High performance sub-volt current mirror are widely used in building mixed-mode low power VLSI systems. The performance of current mirror is decided by its key parameters which includes large operating range, low input compliance voltage, wide swing, large bandwidth along with very low input and very highoutput resistances. In this paper, a design of high performance low power current mirror is shown. The proposed current mirror is based on flipped voltage follower which enables the current mirror to work at low voltage. For improvement in input output resistance the proposed current mirror is employed with super transistor and super cascode stage. The current mirroring with minimum error is achieved till 1mA with power dissipation in the range of micro watt. The achieved bandwidth is 2.1 GHz along with low input and high output resistances as 0.407 ohm and 50 giga ohm, respectively. The process corner, temperature analysis and noise analysis of the proposed current mirror is also shown in this paper. The complete analysis is done using HSpice on 0.18 umtechnology at a dual supply voltage of 0.5 V.
Volume 47 All articles Published: 19 November 2022 Article ID 0242
Neural network-based regression assisted PAPR reduction method for OFDM systems
A V MAYAKANNAN C ARVIND P DHINAKAR G SASIKALA B SATHYASRI K SRIHARI V K SHANMUGANATHAN
OFDM is a ubiquitous modulation scheme used to achieve high data rate during transmission and reception in broadband internet of things application. But the envelope aberration ofOFDMsignal leads to high peakto-average power ratio (PAPR) which finally results in overall transmitter inefficiency. This article proposes a neural network (NN) based gradient clipping approach at the transmitter and a linear regression model at the receiver to minimize the PAPR in OFDMsystems with reasonable computational complexity. The simulation result shows that when compared to the original OFDM signal, the proposed Neural network-based Regression assisted PAPR Reduction achieves PAPR reduction by 82.9% and 84.1% for 64QAM-OFDM and 16QAM OFDM signal respectivelywithout compromising on the bit error rate (BER) performance.
Volume 48, 2023
Continuous Article Publishing mode
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