The Experts below are selected from a list of 24159 Experts worldwide ranked by ideXlab platform
Pradip Mandal - One of the best experts on this subject based on the ideXlab platform.
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Delta-sigma modulator based compact sensor Signal Acquisition front-end system
Microelectronics Journal, 2020Co-Authors: Joydeep Basu, Pradip MandalAbstract:Abstract The proposed delta-sigma modulator (ΔΣM) based Signal Acquisition architecture uses a differential difference amplifier (DDA) customized for dual purpose roles, namely as instrumentation amplifier and as integrator of ΔΣM. The DDA also provides balanced high input impedance for Signal from sensors. Further, programmable input amplification is obtained by adjustment of ΔΣM feedback voltage. Implementation of other functionalities, such as filtering and digitization have also been incorporated. At circuit level, a difference of transconductance of DDA input pairs has been proposed to reduce the effect of input resistor thermal noise of front-end R–C integrator of the ΔΣM. Besides, chopping has been used for minimizing effect of flicker noise. The resulting architecture is an aggregation of functions of entire Signal Acquisition system within the single block of ΔΣM, and is useful for a multitude of dc-to-medium frequency sensing and similar applications that require high precision at reduced size and power. An implementation of this in 0.18-μm CMOS process has been presented, yielding a simulated peak Signal-to-noise ratio of 80 dB and dynamic range of 109 dBFS in an input Signal band of 1 kHz while consuming 100 μW of power; with the measured Signal-to-noise ratio being lower by about 9 dB.
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Delta-Sigma Modulator based Compact Sensor Signal Acquisition Front-end System
arXiv: Signal Processing, 2019Co-Authors: Joydeep Basu, Pradip MandalAbstract:The proposed delta-sigma modulator ($\Delta\Sigma$M) based Signal Acquisition architecture uses a differential difference amplifier (DDA) customized for dual purpose roles, namely as instrumentation amplifier and as integrator of $\Delta\Sigma$M. The DDA also provides balanced high input impedance for Signal from sensors. Further, programmable input amplification is obtained by adjustment of $\Delta\Sigma$M feedback voltage. Implementation of other functionalities, such as filtering and digitization have also been incorporated. At circuit level, a difference of transconductance of DDA input pairs has been proposed to reduce the effect of input resistor thermal noise of front-end R-C integrator of the $\Delta\Sigma$M. Besides, chopping has been used for minimizing effect of Flicker noise. The resulting architecture is an aggregation of functions of entire Signal Acquisition system within the single block of $\Delta\Sigma$M, and is useful for a multitude of dc-to-medium frequency sensing and similar applications that require high precision at reduced size and power. An implementation of this in 0.18-$\mu$m CMOS process has been presented, yielding a simulated peak Signal-to-noise ratio of 80 dB and dynamic range of 109dBFS in an input Signal band of 1 kHz while consuming 100 $\mu$W of power; with the measured Signal-to-noise ratio being lower by about 9 dB.
Joydeep Basu - One of the best experts on this subject based on the ideXlab platform.
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Delta-sigma modulator based compact sensor Signal Acquisition front-end system
Microelectronics Journal, 2020Co-Authors: Joydeep Basu, Pradip MandalAbstract:Abstract The proposed delta-sigma modulator (ΔΣM) based Signal Acquisition architecture uses a differential difference amplifier (DDA) customized for dual purpose roles, namely as instrumentation amplifier and as integrator of ΔΣM. The DDA also provides balanced high input impedance for Signal from sensors. Further, programmable input amplification is obtained by adjustment of ΔΣM feedback voltage. Implementation of other functionalities, such as filtering and digitization have also been incorporated. At circuit level, a difference of transconductance of DDA input pairs has been proposed to reduce the effect of input resistor thermal noise of front-end R–C integrator of the ΔΣM. Besides, chopping has been used for minimizing effect of flicker noise. The resulting architecture is an aggregation of functions of entire Signal Acquisition system within the single block of ΔΣM, and is useful for a multitude of dc-to-medium frequency sensing and similar applications that require high precision at reduced size and power. An implementation of this in 0.18-μm CMOS process has been presented, yielding a simulated peak Signal-to-noise ratio of 80 dB and dynamic range of 109 dBFS in an input Signal band of 1 kHz while consuming 100 μW of power; with the measured Signal-to-noise ratio being lower by about 9 dB.
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Delta-Sigma Modulator based Compact Sensor Signal Acquisition Front-end System
arXiv: Signal Processing, 2019Co-Authors: Joydeep Basu, Pradip MandalAbstract:The proposed delta-sigma modulator ($\Delta\Sigma$M) based Signal Acquisition architecture uses a differential difference amplifier (DDA) customized for dual purpose roles, namely as instrumentation amplifier and as integrator of $\Delta\Sigma$M. The DDA also provides balanced high input impedance for Signal from sensors. Further, programmable input amplification is obtained by adjustment of $\Delta\Sigma$M feedback voltage. Implementation of other functionalities, such as filtering and digitization have also been incorporated. At circuit level, a difference of transconductance of DDA input pairs has been proposed to reduce the effect of input resistor thermal noise of front-end R-C integrator of the $\Delta\Sigma$M. Besides, chopping has been used for minimizing effect of Flicker noise. The resulting architecture is an aggregation of functions of entire Signal Acquisition system within the single block of $\Delta\Sigma$M, and is useful for a multitude of dc-to-medium frequency sensing and similar applications that require high precision at reduced size and power. An implementation of this in 0.18-$\mu$m CMOS process has been presented, yielding a simulated peak Signal-to-noise ratio of 80 dB and dynamic range of 109dBFS in an input Signal band of 1 kHz while consuming 100 $\mu$W of power; with the measured Signal-to-noise ratio being lower by about 9 dB.
Yiming Pi - One of the best experts on this subject based on the ideXlab platform.
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SAW based convolver for GPS Signal Acquisition module
Analog Integrated Circuits and Signal Processing, 2011Co-Authors: Pengda Huang, Yiming PiAbstract:Aiming at acquiring navigation Signal with weak strength at large speed in challenging environment, SAW convolver is employed to implement partial correlation in weak strength and high dynamic GPS Signal Acquisition. After introducing principle of GPS Signal Acquisition, difficulty in acquiring GPS Signal in special environments, for example indoor, urban street and woods, is analyzed in detail. The suitability of SAW device in acquiring challenging GPS Signal is discussed about. A novel GPS receiver structure based on SAW device is proposed. In final, simulation is performed to testify effectiveness of this new structure.
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Research on novel structure of GPS Signal Acquisition based on software receiver
2010 International Symposium on Intelligent Signal Processing and Communication Systems, 2010Co-Authors: Pengda Huang, Yiming PiAbstract:To meet the requirement on GPS Signal Acquisition in degraded environment, data accumulation is effective in enhancing Signal and noise ratio, which trades off huge computation burden, prolonged Acquisition time and high cost of receiver. To improve performance in hardware design, Split-radix FFT and CORDIC technologies are brought into designing GPS Signal Acquisition block. In this paper, the principle of GPS Signal Acquisition method is introduced firstly. CORDIC technology is also used to speed up correlation computation when acquiring GPS Signal. Furthermore, Split-radix FFT is employed to lower the cost of GPS receivers by reducing hardware resources (multipliers, adders, stores). Simulations are also performed to test the effectiveness of the novel structure proposed in this paper. The results demonstrate the novel structure possesses advantages in GPS Signal Acquisition, lowering Acquisition time and reducing hardware expenditure.
Z. B. Zhao - One of the best experts on this subject based on the ideXlab platform.
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A novel audio Signal Acquisition method for wireless sensor networks
Proceedings 2011 International Conference on Transportation Mechanical and Electrical Engineering TMEE 2011, 2011Co-Authors: A.a Han, L.a Zheng, Y.a Yang, H.b. Peng, Z. B. ZhaoAbstract:This paper proposes two novel audio Signal Acquisition methods based on compressed sensing theory, which can perfectly achieve long time, continuous, high-speed Acquisition of audio Signal and real-time, reliable transmission of high-volume of sampling data in wireless sensor network with the limited resources. Reasonable experiments are designed to verify the effectiveness of the two algorithms,and the experiment results show that the two kinds of audio Signal Acquisition methods are reasonable, practicable and suitable for the wireless sensor networks. © 2011 IEEE.
Liang Hung Wang - One of the best experts on this subject based on the ideXlab platform.
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Wireless brain Signal Acquisition circuits for body sensor network
Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing ICCI*CC 2012, 2012Co-Authors: Shuenn-yuh Lee, Jia Hua Hong, Liang Hung WangAbstract:The paper presents the proposed wireless brain Signal Acquisition circuits for body sensor network. Considering the power-efficient communication in the body sensor network, the required low-power analog integrated circuits (ICs) are developed for a wireless brain Signal Acquisition system. To acquire the electroencephalogram (EEG) Signal, this paper proposes an analog front-end (AFE) circuit, including only one low-noise amplifier with chopping techniques and one high-pass sigma-delta modulator (HPSDM), which can be applied as a sensing circuit for EEG Signal Acquisition systems. To transmit the EEG Signal through wireless communication, a quadrature CMOS voltage-controlled oscillator and a 2.4 GHz direct-conversion transmitter with a power amplifier and up-conversion mixer are also developed. In the receiver, a 2.4 GHz fully integrated CMOS radio-frequency front-end is also implemented. The circuits have been implemented to fit the specifications of the IEEE 802.15.4 2.4 GHz standard. The low-power ICs of the wireless EEG Acquisition systems have been fabricated using a 0.18 �m TSMC CMOS standard process. The measured results reveal that the proposed low-power analog front-end ICs can be used for the wireless brain Signal Acquisition.
