The quintessential goal of sensor array signal processing is the estimation of parameters by
fusing temporal and spatial information, captured via sampling a wavefield with a set of …

Five methods of direction-of-arrival (DOA) estimation which can be derived from the
maximum-likelihood (ML) principle are considered. The ML method (MLM) results from the …

The ubiquity, large bandwidth, and spatial diversity of the fifth-generation (5G) cellular signal
render it a promising candidate for accurate positioning in indoor environments where the …

This paper provides a comprehensive review of user parameter-free robust adaptive
beamforming algorithms. We present the ridge regression Capon beamformers (RRCBs) …

A class of covariance matching estimation techniques (COMET) has recently attracted
interest in the signal processing community. These techniques have their roots in the …

Sensor array signal processing deals with the problem of extracting information from a
collection of measurements obtained from sensors distributed in space. The number of …

In many practical signal processing problems, the objective is to estimate from noisy
measurements a set of constant parameters upon which the underlying true signals depend …

(57) ABSTRACT An Applications Processor (14) including a centralized database system is
used in a Wireless location system (WLS). The APs 14 may be used to manage resources in …

We consider the problem of estimating directions of arrival (DOAs) of multiple sources
observed on the background of nonuniform white noise with an arbitrary diagonal …

A real-valued (unitary) formulation of the popular root-MUSIC direction-of-arrival (DOA)
estimation technique is considered. This unitary root-MUSIC algorithm reduces the …