Identification of SM-OFDM and AL-OFDM Signals Based on Their Second-Order Cyclostationarity

TL;DR

This paper presents a new algorithm for distinguishing between SM-OFDM and AL-OFDM signals using second-order cyclostationarity, effective under various signal impairments, with applications in military and commercial communications.

Contribution

The paper introduces a novel second-order cyclostationarity-based method for identifying SM-OFDM and AL-OFDM signals, including analytical derivations and robust performance analysis.

Findings

High identification accuracy achieved

Low sensitivity to phase noise and timing offsets

Effective in diverse channel conditions

Abstract

Automatic signal identification (ASI) has important applications to both commercial and military communications, such as software defined radio, cognitive radio, spectrum surveillance and monitoring, and electronic warfare. While ASI has been intensively studied for single-input single-output systems, only a few investigations have been recently presented for multiple-input multiple-output systems. This paper introduces a novel algorithm for the identification of spatial multiplexing (SM) and Alamouti coded (AL) orthogonal frequency division multiplexing (OFDM) signals, which relies on the second-order signal cyclostationarity. Analytical expressions for the second-order cyclic statistics of SM-OFDM and AL-OFDM signals are derived and further exploited for the algorithm development. The proposed algorithm provides a good identification performance with low sensitivity to impairments in the received signal, such as phase noise, timing offset, and channel conditions.