Adaptive filters are at the core of many signal processing applications, ranging from acoustic
noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to …

Specific emitter identification (SEI) is the process of discriminating different emitters based
on the radio fingerprints extracted from the received signals. Without complex parameter …

Blind equalizers avoid the transmission of pilot sequences, allowing a more efficient use of
the channel bandwidth. Normally, after a first rough equalization is achieved, it is necessary …

Multimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol
interference and recover carrier-phase in communication systems by minimizing dispersion …

The multimodulus algorithm (MMA) is widely used to suppress inter-symbols interference
(ISI) in communication systems because of its advantages that it can complete blind …

常数模算法在无线通信系统的盲均衡中得到广泛的使用, 为了进一步降低稳态误差通常选择将其
与判决引导最小均方误差算法相结合, 传统的双模切换盲均衡算法通过人为设定门限值实现两种 …

In this paper, we address M-QAM blind equalization by fitting the probability density
functions (pdf) of the equalizer output with the constellation symbols. We propose two new …

This paper addresses the blind signal recovery for convolutive multiple-input multiple-output
systems with high-order quadrature amplitude modulation (QAM) signals. First, a family of …

In this paper, we propose a numerically robust blind equalization scheme to mitigate
cochannel and intersymbol interferences and separate signals from a convolutive mixture in …

The performance of blind equalization algorithm is closely related to the characteristics of
the channel. Eigenvalue spread of the channel can reflect the influence of the channel on …