A subspace-based blind adaptive linear minimum mean square error (MMSE) detector has been proposed for multi-user detection in a direct sequence code-division multiple-access (CDMA) system even when multi-path channels are unknown. In this paper, the applicability of the subspace-based blind adaptive algorithm in multiple access ultra-wideband (UWB) systems is investigated. The problem of blind...

In this paper, a novel blind multi-user detection(MUD) framework for autonomous grant-free high-overloading non-orthogonal multiple access is introduced in detail aimed at fulfilling the requirements of fifth-generation massive Machine Type Communications. From the perspective of the transmitter side, pros and cons regarding diverse types of emerging grant-free transmission, particularly autono...

The multi-user detection precision of successive interference cancellation (SIC) detector is always affected by the decision error diffusion. This paper focuses on the SIC algorithm of direct sequence spread spectrum code division multiple access (DS-CDMA) system with strong multiple access interference (MAI) and inter symbol interference (ISI). A blind adaptive Kalman-SIC multi-user detection ...

In this paper, a blind detection method is proposed to evaluate the information that can be drawn from the received phase shift keying (PSK) signals without channel knowledge at the receiver. First, we develop a method to determine the decision regions for detecting PSK symbols based on the maximum a posterior (MAP) criterion. Then, to reduce the numerical complexity, an approximated MAP criter...

This paper links the polarization-sensitive-array signal detection problem to the parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics. Exploiting this link, it derives a deterministic PARAFAC signal detection algorithm. The proposed PARAFAC signal detection algorithm fully utilizes the polarization, spatial and temporal diversities, and supports s...

Although several Kalman filtering algorithms have been presented for adaptive multiuser detection, none is “blind” due to requiring training data sequences and/or more knowledge than the spreading waveform and delay of the desired user. This paper proposes a novel blind adaptive multiuser detector based on Kalman filtering and compares it with previously published LMS and RLS algorithms for bli...

the infomax algorithm is a popular method in blind source separation problem. in this article an extension of the infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-gaussian distributions. this ability is the results of using two different nonlinear functions and new coefficients in the learning rule. in this paper we show how we can use the distribution...

Massive MIMO is, in general, severely affected by pilot contamination. As opposed to traditional detectors, we propose a group-blind detector that takes into account the presence of pilot contamination. While sticking to the traditional structure of the training phase, where orthogonal pilot sequences are reused, we use the excess antennas at each base station to partially remove interference d...