Blind Identification of SM and Alamouti STBC-OFDM Signals

TL;DR

This paper introduces a new algorithm for distinguishing between SM-OFDM and AL-OFDM signals that does not require channel estimation or synchronization, and is robust against various transmission impairments.

Contribution

It presents an efficient identification method leveraging cross-correlation that works without prior knowledge of channel, noise, or modulation, and handles real-world impairments.

Findings

High accuracy in signal identification under various impairments

No need for channel or modulation estimation

Robust performance demonstrated through extensive simulations

Abstract

This paper proposes an efficient identification algorithm for spatial multiplexing (SM) and Alamouti (AL) coded orthogonal frequency division multiplexing (OFDM) signals. The cross-correlation between the received signals from different antennas is exploited to provide a discriminating feature to identify SM-OFDM and AL-OFDM signals. The proposed algorithm requires neither estimation of the channel coefficients and noise power, nor the modulation of the transmitted signal. Moreover, it does not need space-time block code (STBC) or OFDM block synchronization. The effectiveness of the proposed algorithm is demonstrated through extensive simulation experiments in the presence of diverse transmission impairments, such as time and frequency offsets, Doppler frequency, and spatially correlated fading.