A 3.8-mW 3.5–4-GHz Regenerative FM-UWB Receiver With Enhanced Linearity by Utilizing a Wideband LNA and Dual Bandpass Filters

Chen, Fei; Zhang, Wei; Rhee, Woogeun; Kim, Jong-Jin; Kim, Dong-Wook; Wang, Zhihua

doi:10.1109/tmtt.2013.2276452

Cited by 26 publications

(17 citation statements)

References 19 publications

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“…In an attempt to improve the linearity of the regenerative demodulator, a modified architecture was proposed in [ 12 ]. Instead of using just one band-pass filter, a second branch was added ( Figure 3 d), resulting in a Dual Band-Pass Filter (DBPF) demodulator, otherwise known as a balanced frequency discriminator.…”

Section: Review Of Fm-uwb Transceiversmentioning

confidence: 99%

“…The two architectures perfectly illustrate the trade-off between linearity and power consumption in FM-UWB receivers. The implementation from [ 12 ] consumed 3.8 mW, and achieved −78 dBm of sensitivity. The same architecture was reused in [ 13 ] for demodulation of a Chirp-UWB signal, where symbol-level duty-cycling of the receiver was used to bring down the average power consumption to 0.6 mW.…”

Section: Review Of Fm-uwb Transceiversmentioning

confidence: 99%

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FM-UWB: Towards a Robust, Low-Power Radio for Body Area Networks

Kopta

Farserotu

Enz

2017

Sensors

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The Frequency Modulated Ultra-Wideband (FM-UWB) is known as a low-power, low-complexity modulation scheme targeting low to moderate data rates in applications such as wireless body area networks. In this paper, a thorough review of all FM-UWB receivers and transmitters reported in literature is presented. The emphasis is on trends in power reduction that exhibit an improvement by a factor 20 over the past eight years, showing the high potential of FM-UWB. The main architectural and circuit techniques that have led to this improvement are highlighted. Seldom explored potential of using higher data rates and more complex modulations is demonstrated as a way to increase energy efficiency of FM-UWB. Multi-user communication over a single Radio Frequency (RF) channel is explored in more depth and multi-channel transmission is proposed as an extension of standard FM-UWB. The two techniques provide means of decreasing network latency, improving performance, and allow the FM-UWB to accommodate the increasing number of sensor nodes in the emerging applications such as High-Density Wireless Sensor Networks.

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Section: Review Of Fm-uwb Transceiversmentioning

confidence: 99%

Section: Review Of Fm-uwb Transceiversmentioning

confidence: 99%

FM-UWB: Towards a Robust, Low-Power Radio for Body Area Networks

Kopta

Farserotu

Enz

2017

Sensors

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“…In order to analyze the noise figure of the balun-LNA in detail, the noise figure of every stage of LNA is listed, respectively [16]. Firstly, the noise figure NF1of M1 can be calculated as follows:…”

Section: Balun-lnamentioning

confidence: 99%

“…Based on the simulation of Eqs. (15) and (16) by using the Matlab, NF2 of the CG-CS topology is clearly shown in Fig. 8.…”

Section: Balun-lnamentioning

confidence: 99%

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RF low power subsampling architecture for wireless communication applications

Meng

Liu

Wang

et al. 2016

J Wireless Com Network

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With the increasing demands of wireless communication, flexible, complex, and diversified wireless communication applications are required. However, the difficulty of enabling new wireless communication applications is the lack of low power radio frequency (RF) transmission devices, especially the RF receiver. In order to alleviate this problem, an RF low power subsampling architecture for wireless communication applications is proposed in this paper. This subsampling architecture adopts a single-ended to differential configured balun low noise amplifier (balun-LNA), a subsampling mixer with high sampling ratio and a finite input response (FIR) filter and infinite impulse response (IIR) filter achieving frequency down-conversion, avoiding using high power-hungry blocks. Based on a subsampling theory, an optimum sampling frequency for the subsampling architecture is necessary to relax the complexity of the system. For the application of internet of things (IoT) wireless communication, the paper provides the implementation of the subsampling receiver solutions to get a tradeoff between power consumption, gain, noise, and sensitivity. It can achieve −85 dBm sensitivity for an amplitude shift keying (ASK) modulation at the data rate of 1 Mbps with the clock sampling frequency of 40 MHz. Finally, the theoretical analysis and simulation results show that the performance of the subsampling architecture has several advantages over others.

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