Identification of GSM and LTE Signals Using Their Second-order Cyclostationarity

TL;DR

This paper introduces a new automatic signal identification algorithm that detects GSM and LTE signals by exploiting their second-order cyclostationarity, performing well even in noisy conditions without requiring complex synchronization.

Contribution

The paper presents a novel ASI algorithm based on pilot-induced second-order cyclostationarity for GSM and LTE signals, eliminating the need for channel estimation and synchronization.

Findings

High detection performance at low SNRs

Effective with short observation times

Validated with real-world signals

Abstract

Automatic signal identification (ASI) has various millitary and commercial applications, such as spectrum surveillance and cognitive radio. In this paper, a novel ASI algorithm is proposed for the identification of GSM and LTE signals, which is based on the pilot-induced second-order cyclostationarity. The proposed algorithm provides a very good performance at low signal-to-noise ratios and short observation times, with no need for channel estimation, and timing and frequency synchronization. Simulations and off-the-air signals acquired with the ThinkRF WSA4000 receiver are used to confirm the findings.