Massive multiple-input multiple-output (MIMO) systems combined with beamforming
antenna array technologies are expected to play a key role in next-generation wireless …

Conventional least-mean-square (LMS) algorithm is one of the most popular algorithms,
which is widely used for adaptive beamforming. But the performance of the LMS algorithm …

The desired objective of this book is to investigate diversity and mutual coupling effects on
MIMO antenna designs for WLAN/WiMAX/LTE applications, controlled with diversity and …

Interference cancellation holds great promising to suppress the non-cooperative
interference. However, it is usually difficult to obtain an ideal copy of the non-cooperative …

This paper proposes, for the first time, a new radiation pattern synthesis for fractal antenna
array that combines the unique multi-band characteristics of fractal arrays with the adaptive …

For the estimation of real-valued Gaussian signals, the unscented Kalman filter (UKF) can
provide a state estimate with second-order accuracy. However, when a general complex …

This paper is concerned with the optimal Kalman filtering problem for a class of discrete
stochastic systems with multiplicative noises and random two‐step sensor delays. Three …

A robust adaptive weighted constant modulus algorithm is proposed for blind equalization of
wireless communication systems under impulsive noise environment. The influence of the …

The classical least mean square (LMS) algorithm is a widely studied method for adaptive
beamforming. It is well known for its lower computational complexity. However, fast and …

In the frequency modulation (FM) radio-based passive radar system, the target signal mixed
in the reference channel will have a negative impact on the target's own direction of arrival …