Abstract

Wireless communication is rapidly evolving to fulfill diverse requirements in a number of application areas. Researchers are experimenting with novel ideas to improve different aspects of communication systems and performance metrics. While computer simulation is the first step to validating these approaches, testing platforms are needed to transform them to implementations for further validation and experimentation. Software Defined Radios (SDR) and System on Chip (SoC) offer a great deal of flexibility and versatility allowing researchers to experiment with wireless algorithms. However there are challenges; noise, channel effects, and synchronization errors have to be dealt with, and measures to mitigate their effects on received symbols should be implemented. Existing research using state of the art SDR platforms has not leveraged the powerful processing capabilities of Field Programmable Gate Arrays (FPGAs) in SoCs for receiver backend operations. In this work, we use high level tools to describe hardware, and automatically synthesize and implement receiver baseband wireless signal processing algorithms for FPGA targets. We demonstrate the ability to use such platforms for real world applications using over the air waveforms. We use Xilinx ZC706, Zedboard, ADI's FMComms3, and NXP's BGA7210 variable gain amplifier (VGA) for the experiments presented in this paper. Use cases considered include testing the performance of higher order modulation schemes, adjacent channel interference, power amplifier (PA) gain compression and effects on the bit error rate (BER) performance.

Highlights

  • Wireless communication technology is progressing at an unprecedented rate

  • V, we describe impairments in general, and how we mitigate some of them using signal processing algorithms implemented on the Field Programmable Gate Arrays (FPGAs)

  • IMPAIRMENTS An Orthogonal Frequency Division Multiplexing (OFDM) based wireless communication system is susceptible to a number of impairments which must be taken into account and corrected in order to improve the bit error rate (BER) performance [15]–[18]

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Summary

INTRODUCTION

With the demand for higher data rates and increased bandwidth, system designers and equipment manufacturers need to come up with sophisticated technologies to address such growing requirements. These technologies should focus on critical issues such as spectral efficiency, latency and power consumption of devices, to name a few. Exponential growth in demand for higher data rates has necessitated higher order modulation schemes since they support transmission of more bits per unit of bandwidth (bits/Hz) These increased requirements cannot be fully met with Quadrature Amplitude Modulation (QAM) formats such as 16/64 QAM which have widely been used in WiFi and 4G.

BACKGROUND
IMPAIRMENTS
PHASE NOISE
CHANNEL EFFECTS
RESULTS
VIII. CONCLUSION AND FUTURE WORK
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