Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm

Mood, Sepehr Ebrahimi; Hemmati, Mohammad Jafar

doi:10.1007/s12530-022-09433-5

Cited by 5 publications

(1 citation statement)

References 35 publications

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“…Another optimization of a ring VCO has been reported in [6] by hybrid of Particle Swarm Optimization and Non-dominated Sorting Genetic Algorithm (NSGA-II) (NSGA). Previously, a cross-coupled inductor-capacitor (LC) voltage controlled oscillator (LC-VCO) has been designed to achieve good PN and power consumption using a new type of Multi-Objective Gravitational Search Algorithm [7].…”

Section: Introductionmentioning

confidence: 99%

Low power and low phase noise complementary voltage controlled oscillator optimised by a meta‐heuristic algorithm

Hemmati,

Mood

2023

IET Microwaves Antenna & Prop

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This paper presents a differential complementary metal oxide semiconductor inductor‐capacitor voltage controlled oscillator (LC‐VCO). The VCO is adopted from the gate‐to‐source capacitor feedback Colpitts VCO which has the advantage of large value of negative conductance. Due to the large negative conductance, the VCO has a more reliable startup oscillation at the lower currents. The main characteristics of the VCO such as negative conductance, oscillation frequency and phase noise are discussed and analysed. The value of parameters in this circuit have been determined using Non‐dominated Sorting Genetic Algorithm (NSGA‐II) to have the optimum performance. The designed VCO oscillates at 2.76 GHz under a supply voltage of 1.4 V. Power dissipation of the proposed VCO is 873 μW which is significantly lower than that of some other VCOs. The post‐layout simulation results of the proposed VCO are presented and compared with the performance of some other VCOs.

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Section: Introductionmentioning

confidence: 99%

Low power and low phase noise complementary voltage controlled oscillator optimised by a meta‐heuristic algorithm

Hemmati,

Mood

2023

IET Microwaves Antenna & Prop

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Wide Frequency Multiphase Oscillator Designed by Coupling Two Identical Ring Voltage Controlled Oscillators

Hemmati,

Mood,

Dehnavi

2024

Circuit Theory & Apps

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This work presents a novel wide tuning range ring voltage controlled oscillator (RVCO) designed to generate six‐phase signals. The proposed circuit is realized by coupling two identical three‐stage single‐ended inverter‐based RVCOs. The coupling network injects the common mode signals from one RVCO to the other one and vice versa in a cross‐connected manner. Three‐stage RVCOs used for coupling have been configured by modifying the conventional current‐starved RVCO. The proposed six‐phase RVCO is optimized using an improved version of non‐dominated Sorting Genetic Algorithm III (NSGAIII). In this algorithm, the sigma scaling method is used to control selection pressure and enhance the algorithm's performance. The proposed RVCO oscillates at 3.46 GHz. It can operate from 970 MHz to 4 GHz with a supply voltage of 1.5 V, demonstrating a wide frequency tuning range of 120%. Additionally, another six‐phase oscillator is proposed, achieved by capacitively coupling two identical three‐stage RVCOs. Both proposed oscillators are designed in TSMC 0.18 μm CMOS technology.

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Robust Low-Carbon Economic Dispatch Analysis of Power System Based on Multi-Objective Optimization

Gong,

Wang,

Cheng

et al. 2024

2024 International Conference on HVDC (HVDC)

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Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm

Cited by 5 publications

References 35 publications

Low power and low phase noise complementary voltage controlled oscillator optimised by a meta‐heuristic algorithm

Low power and low phase noise complementary voltage controlled oscillator optimised by a meta‐heuristic algorithm

Wide Frequency Multiphase Oscillator Designed by Coupling Two Identical Ring Voltage Controlled Oscillators

Robust Low-Carbon Economic Dispatch Analysis of Power System Based on Multi-Objective Optimization

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