Abstract

This paper presents a second-order complex baseband operational transconductance amplifier-capacitor (OTA-C) filter design for wireless receivers. It employs a novel adaptive biasing circuit for large-signal linearization that extends the filter’s usable signal swing range. An analysis of this linearization technique provides insights into its underlying concepts to assist the design process. The method is demonstrated with the first experimental evaluation of a second-order complex baseband filter prototype having a center frequency of 2 MHz and a bandwidth of 850 KHz. Fabricated in a standard 130nm CMOS technology, the filter prototype measurement results show a gain of 35.1 dB and an image rejection ratio of 39.7 dB while operation from a supply voltage of 0.95 V and consuming 0.13 mA. This design advances the low-power bandpass filter state-of-the-art by having an in-band and out-of-band SFDR of 62 dB and 64 dB respectively due to the use of the large-signal linearization approach.

Highlights

  • S INCE the advent of the Internet-of-Things (IoT) there has been an increased demand for low-power highdata-rate transceivers

  • The filter in this paper is not designed for a particular standard, but its specifications such as bandwidth, center frequency, gain and image rejection ratio (IRR) are resembling the works listed in the comparison table in Section III, which were designed for Bluetooth Low Energy (BLE) and ZigBee applications

  • The filter is designed as a proof of concept for experimental verification of the adaptive biasing linearization to extend the dynamic range of such filters with relatively low power consumption

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Summary

Introduction

S INCE the advent of the Internet-of-Things (IoT) there has been an increased demand for low-power highdata-rate transceivers. INDEX TERMS Adaptive biasing, complex filter, large-signal linearization, low power, wireless receiver. The filter is designed as a proof of concept for experimental verification of the adaptive biasing linearization to extend the dynamic range of such filters with relatively low power consumption.

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