A 0.5 V static master-slave D flip-flop (DFF) divider-by-2 is implemented with a 0.13 μm 1P8M RF- mixed signal CMOS process. Low-threshold transistors in a deep-N well with forward-body bias technology are used in ...
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A 0.5 V static master-slave D flip-flop (DFF) divider-by-2 is implemented with a 0.13 μm 1P8M RF- mixed signal CMOS process. Low-threshold transistors in a deep-N well with forward-body bias technology are used in the circuit. Each of the D-latch with source coupled logic consists of sensing and latching circuits. To increase the maximum operating frequency and decrease power consumption, the latching current is one half of the sensing current. The circuit optimization methods are described in this paper. The measured maximum operating frequency is 6.5 GHz and the minimum input singled-signal amplitude is 0.15 V.
In view of parameter uncertainty in the magnetic levitation system, the adaptive controller design problem is investigated for the system. Nonlinear adaptive controller based on backstepping is proposed for the design...
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This paper presents an up-conversion mixer for 2.4GHz wireless sensornetworks in 0. 181xm RF complementary metal-oxide semiconductor (CMOS) technology. It is based on a double-balanced Gilbert cell type. With two G...
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This paper presents an up-conversion mixer for 2.4GHz wireless sensornetworks in 0. 181xm RF complementary metal-oxide semiconductor (CMOS) technology. It is based on a double-balanced Gilbert cell type. With two Gilbert cells it was applied quadrature modulation. Operational ampli- tiers are used in this design to improve the conversion gain under low power consumption. The mixer design is based on 0.18txm RF CMOS process. And the mixer test results indicate that under 1.8V power supply, with input frequency 2.4 - 2.4835GHz, the conversion voltage gain is 1.2 - 2dB. When the output frequency is 2.4GHz, its power gain is -4.46dB, and its input referred 1 dB com- pression point is -11.5dBm and it consumes 1.77mA current.
This paper presents a low-voltage and low-power programmable gain amplifier (PGA) for Wireless sensornetwork (WSN) in 0.18 μm CMOS process. MOSFETs biased to moderate inversion region are applied in order to achieve...
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This paper proposes an adaptive sparsity-based direct position determination (DPD) appoach to locate multiple targets in the case of time-varying channels. The novel feature of this method is to dynamically adjust bot...
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This paper proposes an adaptive sparsity-based direct position determination (DPD) appoach to locate multiple targets in the case of time-varying channels. The novel feature of this method is to dynamically adjust both the overcomplete basis and the sparse solution based on a two-step dictionary learning (DL) framework. The method first performs supervised offline DL by using the quadratic programming approach, and then the dictionary is continuously updated in an incremental fashion to adapt to the time-varying channel during the online stage. Furthermore, the method does not need the number of emitters a prior. Simulation results demonstrate the performance of the proposed algorithm on the location estimation accuracy.
In this paper, we propose a new asynchronous MAC protocol, the AW-MAC, for bulk-data collection in wireless sensornetworks. We develop a routing-enhanced adaptive wakeup mechanism and an on-demand channel assignment ...
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ISBN:
(纸本)9781479913275
In this paper, we propose a new asynchronous MAC protocol, the AW-MAC, for bulk-data collection in wireless sensornetworks. We develop a routing-enhanced adaptive wakeup mechanism and an on-demand channel assignment scheme that allow the protocol to transform from single channel asynchronous schedule to multi-channel TDMA schedule in an on-demand fashion. These schemes overcome the sleep latency problem of duty-cycling and avoid the inefficiency of unscheduled asynchronous channel access. The simulation results show that our protocol largely reduces the latency on collecting bulk data then the state-of-the-art asynchronous duty-cycle MAC protocol while consuming similar energy.
This paper proposes an adaptive sparsity-based direct position determination (DPD) appoach to locate multiple targets in the case of time-varying channels. The novel feature of this method is to dynamically adjust bot...
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This paper proposes an adaptive sparsity-based direct position determination (DPD) appoach to locate multiple targets in the case of time-varying channels. The novel feature of this method is to dynamically adjust both the overcomplete basis and the sparse solution based on a two-step dictionary learning (DL) framework. The method first performs supervised offline DL by using the quadratic programming approach, and then the dictionary is continuously updated in an incremental fashion to adapt to the time-varying channel during the online stage. Furthermore, the method does not need the number of emitters a prior. Simulation results demonstrate the performance of the proposed algorithm on the location estimation accuracy.
Since there is much larger channel delay spread, there is serious inter-symbol interference (ISI) when ultrawideband (UWB) wireless communication systems work at high data speed. The serious ISI affects the performanc...
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This letter presents a wideband tri-passband filter in which tri-section stepped-impedance shunt-stubs are used as tri-mode resonators, connected by transmission lines. Developed from the topology of quarter-wavelengt...
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This paper presents the design of a Class A/B power amplifier (PA) for 2.4-2.4835GHz Wireless sensornetwork (WSN) system in 0.18μm CMOS technology. The PA adopts the single-stage differential structure and the outpu...
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