With the surge of Internet of Things (IoT) applications using unmanned aerial vehicles
(UAVs), there is a huge demand for an excellent complexity/power efficiency trade-off and …

The expansion of data coverage and the accuracy of decoding of the narrowband-Internet of
Things (NB-IoT) mainly depend on the quality of channel equalizers. Without using training …

In unmanned aerial vehicle (UAV) communications, frequency-selective fading can severely
deteriorate the quality of transmitted signal by generating undesired and disordered …

In wireless communication systems, the conventional constant modulus algorithm incurs
artificial error and steady state misadjustment. In this study, an improved constant modulus …

In airborne passive bistatic radar (PBR), the reference channel toward the opportunity
illuminator is applied to receive the direct-path signal as the reference signal. In the actual …

Quadrature amplitude modulation (QAM) is one of the essential components of unmanned 1
aerial vehicle (UAV) communications. However, the output signal accuracy of QAM …

To solve the issues of the high complexity, poor performance, and slow convergence speed
in the blind equalization of high order Continuous Phase Modulation (CPM) signals, a new …

Given the nonlinear channel, the online blind equalization algorithm for Quadrature
Amplitude Modulation (QAM) signals based on the prediction principle via the Complex …

In this paper, the problem of blind equalization of high-order quadrature amplitude
modulation (QAM) signals is tackled by using a batch equalizer based on support vector …

In this paper, we propose a second-order Gaussian–Newton method for the blind
equalization of quadrature amplitude modulation (QAM) signals based on the multi-modulus …