scispace - formally typeset
A

Ajit Sharma

Researcher at Texas Instruments

Publications -  42
Citations -  1220

Ajit Sharma is an academic researcher from Texas Instruments. The author has contributed to research in topics: Gyroscope & Tuning fork. The author has an hindex of 16, co-authored 42 publications receiving 1161 citations. Previous affiliations of Ajit Sharma include Georgia Institute of Technology & Georgia Tech Research Institute.

Papers
More filters
Journal ArticleDOI

A Mode-Matched Silicon-Yaw Tuning-Fork Gyroscope With Subdegree-Per-Hour Allan Deviation Bias Instability

TL;DR: In this paper, an in-plane mode-matched tuning-fork gyroscope (M2-TFG) was proposed to detect angular rate about the normal axis using two high-quality-factor resonant flexural modes of a single crystalline silicon mi- crostructure.
Journal ArticleDOI

A Sub-0.2 $^{\circ}/$ hr Bias Drift Micromechanical Silicon Gyroscope With Automatic CMOS Mode-Matching

TL;DR: The proposed time domain scheme utilizes the often-ignored residual quadrature error in a gyroscope to achieve, and maintain, perfect mode-matching, as well as electronically control the sensor bandwidth.
Proceedings ArticleDOI

High Performance Matched-Mode Tuning Fork Gyroscope

TL;DR: In this paper, the authors presented the perfect matched-mode operation of a type I non-degenerate z-axis tuning-fork gyroscope (i.e., 0 Hz frequency split between high-Q drive and sense modes).
Journal ArticleDOI

A 104-dB Dynamic Range Transimpedance-Based CMOS ASIC for Tuning Fork Microgyroscopes

TL;DR: In this paper, a T-network transimpedance amplifier (TIA) is used as the front-end for low-noise, sub-atto-Farad capacitive detection.
Proceedings Article

A 104-dB dynamic range transimpedance-based CMOS ASIC for tuning fork microgyroscopes

TL;DR: In this article, a T-network transimpedance amplifier (TIA) is used as the front-end for low-noise, sub-atto-Farad capacitive detection.