2016Unpublished venueRequires access

Sample rate conversion technique for software defined radio receiver

Devarpita Sinha, Anish Kumar Verma, Sanjay Kumar

Open publisher page 6 citations

Abstract

Software Defined Radio (SDR) can implement different wireless standards through software while using a static hardware platform. This can be possible by means of digital signal processing. So, in SDR receiver, received analog Radio Frequency (RF) signal is converted to digital signal by an Analog to Digital Converter (ADC) just after the receiving antenna. Digital signal coming out from ADC has a fixed sample rate. This sample rate should be converted to another sample rate, according to different wireless standards. This technique is known as Sample Rate Conversion (SRC). This is done for making the digital signal suitable for baseband processing. This paper discusses different techniques to perform SRC and their implementations. This paper also highlights roles of filters in SRC technique and some important constraints to be maintained while designing these filters. Finally it focuses on three types of filters suitable for SRC and mentions some of their advantages and disadvantages.

About this research paper

What this paper is about

Software Defined Radio (SDR) can implement different wireless standards through software while using a static hardware platform. This can be possible by means of digital signal processing. So, in SDR receiver, received analog Radio Frequency (RF) signal is converted to digital signal by an Analog to Digital Converter (ADC) just after the receiving antenna. Digital signal coming out from ADC has a fixed sample rate. This sample rate should be converted to another sample rate, according to different wireless standards. This technique is known as Sample Rate Conversion (SRC). This is done for making the digital signal suitable for baseband processing. This paper discusses different techniques to perform SRC and their implementations. This paper also highlights roles of filters in SRC technique and some important constraints to be maintained while designing these filters. Finally it focuses on three types of filters suitable for SRC and mentions some of their advantages and disadvantages.

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Available abstract

Software Defined Radio (SDR) can implement different wireless standards through software while using a static hardware platform. This can be possible by means of digital signal processing. So, in SDR receiver, received analog Radio Frequency (RF) signal is converted to digital signal by an Analog to Digital Converter (ADC) just after the receiving antenna. Digital signal coming out from ADC has a fixed sample rate. This sample rate should be converted to another sample rate, according to different wireless standards. This technique is known as Sample Rate Conversion (SRC). This is done for making the digital signal suitable for baseband processing. This paper discusses different techniques to perform SRC and their implementations. This paper also highlights roles of filters in SRC technique and some important constraints to be maintained while designing these filters. Finally it focuses on three types of filters suitable for SRC and mentions some of their advantages and disadvantages.

Key concepts: Software-defined radio, Baseband, Computer science, Digital down converter, Electronic engineering, Digital signal processing, Digital signal, SIGNAL (programming language)

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