GNU Radio Based Bandpass Sampling Radio Processor
Hongmei Wang, Faguang Wang, Shiyin Li, Sanghyuk Lee, Chong Yao, Moldaulet Balykbay
Abstract
Hongmei Wang, Faguang Wang, Shiyin Li, Sanghyuk Lee, Chong Yao, Moldaulet Balykbay
Abstract
Bandpass1 sampling (BPS), which can directly down-convert and digitize RF signals, is widely used in software-defined radio (SDR). Recently, GNU Radio, a free software toolkit for building SDR, has become popular. Based on BPS and signal-processing techniques, a receiver architecture for a digital RF frontend was presented and an SDR system using GNU Radio was built. The low-cost platform design of the bandpass sampling radio processor (BPSRP) was focused on and a multiband receiver without modification of the RF hardware was realized. An SDR that simultaneously receives a DQPSK video signal, a 16QAM signal, and a WBMF signal were implemented to demonstrate our method.
A significance statement is not available in the OpenAlex record.
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.
Bandpass1 sampling (BPS), which can directly down-convert and digitize RF signals, is widely used in software-defined radio (SDR). Recently, GNU Radio, a free software toolkit for building SDR, has become popular. Based on BPS and signal-processing techniques, a receiver architecture for a digital RF frontend was presented and an SDR system using GNU Radio was built. The low-cost platform design of the bandpass sampling radio processor (BPSRP) was focused on and a multiband receiver without modification of the RF hardware was realized. An SDR that simultaneously receives a DQPSK video signal, a 16QAM signal, and a WBMF signal were implemented to demonstrate our method.
Key concepts: Software-defined radio, Radio frequency, Radio receiver design, Digital radio, Computer science, SIGNAL (programming language), Sampling (signal processing), Digital signal processing