Maarten Lont

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In this paper, we present an ultra low-power Wake-up Receiver front-end operating in the 868/915MHz ISM band. It targets short distance body area networks. Its power consumption is only 126uW, including a low-power on-chip ring oscillator. Since the receiver targets small transmission distances, up to 10m, sensitivity is traded against power consumption.(More)
In this paper analytical models of the energy consumption are presented which uses a real world radio model with two different low power modes. This model is used to compare energy consumption of different MAC protocols. The MAC protocols used for the comparison are chosen with sensor networks is mind. The energy consumption of the nodes in a sensor network(More)
A fully differential 60 GHz down-converter in 65-nm CMOS technology is presented. The circuit, including the buffers, draws 5 mA from a 1.2 V supply. The measured power conversion gain is 4 dB with an IF 3 dB bandwidth of 1.3 GHz. Measured IIP2 and IIP3 are 16.6 and −6 dBm respectively. The mixer will be part of a 60 GHz receiver.
This paper presents an ultra-low power wireless transceiver specialized for but not limited to medical implantable applications. It operates at the 402-405-MHz medical implant communication service band, and also supports the 420-450-MHz industrial, scientific, and medical band. Being IEEE 802.15.6 standard compliant with additional proprietary modes, this(More)
According to the well-known Friis equation the available power gain should be maximized to reduce the overall noise figure. Therefore, in receivers where an LNA is not present or its gain is low, the available power gain of the passive mixer is of interest. However, only the voltage gain is presented in many papers. In this paper an analytical model is(More)
In energy-constrained applications like Body Area Networks (BAN) receiver performance is traded for lower power consumption. The limited receiver performance will deteriorate the output signal-to-noise-ratio (SNR) and bit-error-rate (BER) of the receiver. In this paper we present closed-form output SNR and BER models of a non-ideal receiver front-end with(More)