A Practical Implementation of TD-LTE and GSM Signals Identification via Compressed Sensing

摘要

School of Information, Beijing Wuzi University, Beijing 101149, China Signal identification is a crucial subject in cognitive radio (CR) systems. In GSM spectrum refarming or spectrum monitoring scenarios, CR is required to identify on-the-air signals like long term evaluation (LTE), global system mobile (GSM). Second-order cyclostation-ary detection is an identification method robust to noise uncertainty and used widely in spectrum sensing. However, it requires high sampling rate and long processing time. In this paper, we first propose a compressed sensing (CS) based sampling structure to reduce the sampling rate using the second-order cyclostationary features of Time Division-LTE (TD-LTE) and GSM signals. Furthermore, an identification method for TD-LTE and GSM signals based on CS is employed to reduce sensing time. The performance of the method is evaluated by the practical on-the-air-signals measured with a spectrum analyzer. Numerical results show that our method can achieve a high detection probability with a low sampling complexity.