Sample rate conversion technique for software defined radio receiver
Devarpita Sinha, Anish Kumar Verma, Sanjay Kumar
Abstract
Devarpita Sinha, Anish Kumar Verma, Sanjay Kumar
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.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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)