A receiver architecture suitable for devices in wireless body area networks is presented. Such devices require minimum physical size and power consumption. To achieve this the receiver should therefore be fully integrated in state-of-the-art CMOS technology, and size and power consumption must be carefully considered at all levels of design. The chosen modulation is frequency shift keying, for which transmitters can be realized with high efficiency and low spurious emissions. A directconversion receiver architecture is used to achieve minimum power consumption and a modulation index equal to two is chosen, creating a mid-channel notch in the modulated signal. A tailored demodulation structure has been designed to make the digital baseband compact and low power. To increase sensitivity it has been designed to interface with an analog decoder. Implementation in the analog domain minimizes the decoder power consumption. Antenna design and wave propagation are taken into account via simulations with phantoms. The 2.45 GHz ISM band was chosen as a good compromise between antenna size and link loss. An ultra-low power medium access scheme has been designed, which is used both for system evaluation and for assisting system design choices. Receiver blocks have been fabricated in 65-nm CMOS, and an RF front-end and an analogto-digital converter have been measured. Simulations of the complete baseband have been performed, investigating impairments due to 1/f noise, frequency and time offsets. Index Terms-Body sensor networks, CMOS integrated circuits, Low power electronics, Receivers, System-on-a-chip I. INTRODUCTION HERE are numerous applications for ultra-low power wireless communication. For instance, it can benefit such different areas as health care [1] and smart buildings [2], [3]. To achieve ultra-low power consumption it is important to combine low-power transceiver circuits with optimized communication protocols. In medical implants this is critical Manuscript received October 6, 2011.
A complete architecture with transistor level simulation is presented for a low power analog convolutional decoder in 65 nm CMOS. The decoder core operates in the weak inversion (sub-VT) and realizes the BCJR decoding algorithm corresponding to the 4-state tail-biting trellis of a (7,5) convolutional code. The complete decoder also incorporates serial I/O digital interfaces and current mode differential DACs. The simulated bit error rate is presented to illustrate the coding gain compared to an uncoded system. Our results show that a low power, high throughput convolutional decoder up to 1.25 Mb/s can be implemented using analog circuitry with a total power consumption of 84 µW. For low rate applications the decoder consumes only 47 µW at a throughput of 250 kb/s.
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