Design and realisation of a low-power, high-concurrency SDR-based communication system at 230 MHz

Software-defined radio (SDR) devices have significantly advanced communication networks by reducing the cost and development time of radio frequency (RF) designs. Their programmability enhances system capabilities, making them valuable for both research and application-driven tasks. With the growth of the Internet of Things (IoT), the need to validate, process, and decode numerous incoming signals has increased - an area where SDRs are highly effective. This paper explores the integration of surface acoustic wave (SAW) devices and SDRs for wireless, in situ sensor response measurements. SAW devices are employed for time delay analysis, while SDRs capture signal data across the 218-230 MHz range using 1921 samples. The inverse Fourier transform is applied to convert frequency-domain data to the time domain. Signal quality is evaluated against measurements from a commercial vector network analyser (VNA). Using a LimeSDR Mini, achieves reliable time delay detection with results closely matching those of the VNA.