Signal identification is an umbrella term for signal processing techniques designed for the
identification of the transmission parameters of unknown or partially known communication …

Modulation detection techniques have received much attention in recent years due to their
importance in the military and commercial applications, such as software-defined radio and …

Detection of the number of transmit antennas plays an important role in the design of
adaptive multiantenna wireless communication systems. This paper develops a detection …

Identification of transmit-antenna number is of importance in cognitive Internet of Things
(IoT) with multiple-input–multiple-output (MIMO). Previous studies on transmit-antenna …

Reliable identification of spatial parameters for multiple-input multiple-output (MIMO)
systems, such as the number of transmit antennas (NTA) and the direction of arrival (DOA) …

Identifying the number of transmit antennas and the channel order is an important step in
recovering the original information for a non-cooperative communication system. Traditional …

Multiple-input multiple-output technology brings new challenges for detecting signal
parameters in some intelligent systems. An accurate estimation of the transmit-antenna …

This paper investigates the asymptotic optimality of the Constant False Alarm Rate (CFAR)
tests obtained using the Minimal Invariant Group (MIG) reduction. We show that the CFAR …

In this paper, a novel algorithm is proposed to blindly detect the number of transmit antennas
by exploiting the time-diversity of the fading channel. It employs a second-order moment and …

To promote reliable and secure communications in the cognitive radio network, the
automatic modulation classification algorithms have been mainly proposed to estimate a …