A Comparative Assessment of Calibrated SDRs for Spectrum Sensing
Abstract
Cost-effective, reliable spectrum sensing systems are increasingly important in modern wireless systems. This paper presents the design and implementation of a spectrum sensing and detection system to compare the performance of five commercial software-defined radios (SDRs). The system scans and stitches subbands, normalizes the frequency response of the receiver, and returns a per-bin, threshold-based detection decision. Terminated-input false-detection counts, settling interval, and scan/processing time are compared while considering receiver characteristics such as cost, frequency range, and maximum sampling rate. The SDRs are tested using controlled over-the-air signals and scans in the 902–928 MHz ISM band at 2.4 MS/s and 10 MS/s, and in the 2402–2480 MHz Bluetooth channel range at 10 MS/s, as their datasheet specifications allow.
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