Abstract Interferometric imaging is an emerging technique for particle tracking and mass photometry. Mass or position are estimated from weak signals, coherently scattered nanoparticles single molecules, interfered with a co-propagating reference. In this work, we perform statistical analysis derive lower bounds on the measurement precision of parameters interest shot-noise limited images. This...

Reconfigurable Intelligent Surfaces (RISs) have been recently considered as an energy-efficient solution for future wireless networks due to their fast and low-power configuration, which has increased potential in enabling massive connectivity low-latency communications. Accurate low-overhead channel estimation RIS-based systems is one of the most critical challenges usually large number RIS un...

In this paper, we focus on joint channel estimation (JCE) of multi-cell networks, which is the basis for application of multi-cell cooperative. For overcoming the weakness that the existing multi-cell JCEs need power delay profile (PDP) knowledge of all multiple cells remained the same and known by receiver or pilot sequence sets of all cells being identical and other limitations, the paper pre...

The problem of super-resolution time delay estimation in multipath environments is addressed in this paper. Two cases, active and passive systems, are considered. The time delay estimation is first converted into a sinusoidal parameter estimation problem. Then the sinusoidal parameters are estimated by generalizing the Multiple Signal Classification (MUSIC) algorithm for single-experiment data....

In this paper we provide three contributions to the field of channel sounding waveform design in asynchronous Multi-user (MU) MIMO systems. The first contribution is a derivation of the asynchronous MU-MIMO model and the conditions that the sounding waveform must meet to independently resolve all of the spatial channel responses. Next we propose a chirp waveform that meets the constraints and w...

This paper analyzes the performance of methods for estimating the parameters of narrowband signals arriving at an array of sensors. The so-called deterministic and stochastic maximum likelihood (ML) methods are considered. A performance analysis is carried out for nite number of snapshots but assuming that the array is composed of a suuciently large number, m, of sensors. Strong consistency of ...

In this paper, we investigate the data-aided estimation of frequency offsets and channel coefficients in the uplink transmission of MIMOOFDMA systems. A compact and informative expression of the Cramér-Rao Bound (CRB) is derived for large training sequence sizes. It is shown that the asymptotic performance bounds do not depend on the number of users. Next, we bring to the fore the training stra...

A unifying asymptotic performance analysis of a class of MUSIC algorithms for direction-of arrival (DOA) estimation in fourth-order cumulant domain (FOCD-MUSIC) is presented in this paper, A simple and explicit formula for the asymptotic variances of DOA estimation by FOCDMUSIC’s is given. The Cram&-Rao bound for DOA estimation in fourth-order cumulant domain (FOCD-CRB) is also derived. The per...

Recent results have shown that blind channel estimators, which are resilient to the location of channel zeros, color of additive stationary noise, and channel order overestimation errors, can be developed for communication systems equipped with transmitter-induced cyclostationarity precoders. The present paper extends these blind estimation approaches to the more general problem of estimating t...

In this article, we consider the problem of joint optimization of multi-input multi-output (MIMO) radar waveform and biased estimator with prior information on targets of interest in the presence of signal-dependent noise. A novel constrained biased Cramer-Rao bound (CRB) based method is proposed to optimize the waveform covariance matrix (WCM) and biased estimator such that the performance of ...