The quintessential goal of sensor array signal processing is the estimation parameters by fusing temporal and spatial information, captured via sampling a wavefield with set judiciously placed antenna sensors. assumed to be generated finite number emitters, contains information about characterizing emitters. A review area given. focus on parameter methods, many relevant problems are only briefly mentioned. We emphasize relatively more recent subspace-based methods in relation beamforming....

Algorithms for estimating unknown signal parameters from the measured output of a sensor array are considered in connection with subspace fitting problem. The methods deterministic maximum likelihood method (ML), ESPRIT, and recently proposed multidimensional method. These formulated subspace-fitting-based framework, which provides insight into their algebraic asymptotic relations. It is shown that by introducing specific weighting matrix, can achieve same properties as ML distribution...

The problem of signal parameter estimation narrowband emitter signals impinging on an array sensors is addressed. A multidimensional procedure that applies to arbitrary structures and correlation proposed. method based the recently introduced weighted subspace fitting (WSF) criterion includes schemes for both detecting number sources estimating parameters. Gauss-Newton-type presented solving WSF maximum-likelihood optimization problems. global local properties search are investigated through...

We propose a maximum-likelihood (ML) approach for separating and estimating multiple synchronous digital signals arriving at an antenna array cell site. The spatial response of the is assumed to be known imprecisely or unknown. exploit finite alphabet property simultaneously estimate symbol sequence each signal. Uniqueness estimates established BPSK signals. introduce signal detection technique based on that different from standard linear combiner. Computationally efficient algorithms both...

The asymptotic distribution of the estimation error for total least squares (TLS) version ESPRIT is derived. application to a uniform linear array treated in some detail, and generalization include row weighting discussed. Cramer-Rao bound (CRB) problem formulation derived found coincide with variance TLS estimates through numerical examples. A comparison this method ESPRIT, MUSIC, Root-MUSIC as well CRB calibrated also presented. be competitive other methods, performance close many cases...

The use of adaptive antenna techniques to increase the channel capacity is discussed. Directional sensitivity obtained by using an array at base station, possibly both in receiving and transmitting mode. A scheme for separating several signals same frequency proposed. method based on high-resolution direction-finding followed optimal combination outputs. Comparison with a reference made. Computer simulations are carried out test applicability technique scattering scenarios that typically...

It is shown that the multidimensional signal subspace method, termed weighted fitting (WSF), asymptotically efficient. This results in a novel, compact matrix expression for Cramer-Rao bound (CRB) on estimation error variance. The asymptotic analysis of maximum likelihood (ML) and WSF methods extended to deterministic emitter signals. properties estimates this case are be identical Gaussian case, i.e. independent actual waveforms. Conclusions concerning modeling aspect sensor array problem...

Proposes a novel approach for separating and estimating multiple co-channel digital signals using an antenna array. The spatial response of the array is unknown. authors exploit temporal structure to simultaneously determine bit sequence each signal. Uniqueness estimates established with BPSK modulation format. This new applicable unknown geometry propagation environment, which particularly useful in mobile communications. Simulation results demonstrate its promising performance.< <ETX...

This paper presents a large sample decoupled maximum likelihood (DEML) angle estimator for uncorrelated narrowband plane waves with known waveforms and unknown amplitudes arriving at sensor array in the presence of arbitrary spatially colored noise. The DEML decouples multidimensional problem exact ML to set 1-D problems and, hence, is computationally efficient. We shall derive asymptotic statistical performance compare its Cramer-Rao bound (CRB), i.e., best possible class asymptotically...

A number of techniques for parametric (high-resolution) array signal processing have been proposed in the last few decades. With exceptions, these algorithms require an exact characterization array, including knowledge sensor positions, gain/phase response, mutual coupling, and receiver equipment effects. Unless all sensors are identical, this information must typically be obtained by experimental measurements (calibration). In practice, course, such is inevitably subject to errors. Several...

The signal processing community is currently witnessing the emergence of sensor array and direction-of-arrival (DoA) estimation in various modern applications, such as automotive radar, mobile user millimeter wave indoor localization, drone surveillance, well new paradigms, joint sensing communication future wireless systems. This trend further enhanced by technology leaps availability powerful affordable multiantenna hardware platforms.

Multipath is a major impairment in wireless communications environment, and channel estimation algorithms are of interest. We propose superimposed periodic pilot scheme for finite-impulse response (FIR) estimation. A simple first-order statistic used, any FIR can be estimated. There no loss information rate but controllable increase transmission power. derive the variance expression our linear estimate compare with Cramer-Rao bound. Numerical examples illustrate effectiveness proposed method.

Full-duplex relays can provide cost-effective cover-age extension and throughput enhancement. However, the main limiting factor is resulting self-interference signal which deteriorates relay performance. In this paper, we propose a novel technique for suppression in full-duplex Multiple-Input Multiple-Output (MIMO) relays. The employs transmit receive weight filters suppressing signal. Unlike existing techniques that are based on zero forcing of self-interference, aim at maximizing ratio...

In the design of simultaneous wireless information and power transfer (SWIPT) systems, it has been typically assumed that energy conversion efficiency is independent from level input at receiver. On other hand, in practice exhibits a nonlinear behavior highly depends on power. This leads to discrepancy between practical harvesting (EH) hardware available resource allocation designs made for SWIPT systems. work concerned with this issue. particular, we propose quadratic model EH circuitry....

This paper considers the problem of maximum likelihood (ML) estimation for reduced-rank linear regression equations with noise arbitrary covariance. The rank-reduced matrix coefficients is parameterized as product two full-rank factor matrices. parameterization essentially constraint free, but it not unique, which renders associated ML rather nonstandard. Nevertheless, turns out to be tractable, and following results are obtained. An explicit expression derived estimate in terms data...

This paper deals with the problem of estimating signal parameters using an array sensors. is interest in a variety applications, such as radar and sonar source localization. A vast number estimation techniques have been proposed literature during past two decades. Most these can deliver consistent estimates only if covariance matrix background noise known. In many aforementioned assumption unrealistic. Recently, contributions addressed parameter unknown environments based on various...

Maximum likelihood (ML) estimation in array signal processing for the stochastic noncoherent case is well documented literature. We focus on equally relevant of coherent signals. Explicit large-sample realizations are derived ML estimates noise power and (singular) covariance matrix. The asymptotic properties examined, some numerical examples provided. In addition, we show surprising fact that parameters obtained by ignoring information sources coincide large samples with exploiting source...

The principal sources of estimation error in sensor array signal processing applications are the finite sample effects additive noise and imprecise models for antenna spatial statistics. While these errors have been studied individually, their combined effect has not yet rigorously analyzed. authors undertake such an analysis class so-called subspace fitting algorithms. In addition to deriving first-order asymptotic expressions error, they show that overall optimal weighting exists a...

This paper provides a new analytic expression of the bias and RMS error (root mean square) estimated direction arrival (DOA) in presence modeling errors. In , first-order approximations are derived, which accurate for small enough perturbations. However, previously available expressions not able to capture behavior estimation algorithm into threshold region. order fill this gap, we provide second-order performance analysis, is valid larger interval To end, it shown that DOA each signal...