In this paper, we present a location-penalized maximum likelihood (LPML) estimator for bearing only target localization. We develop new penalized cost function by transforming the variables of position and bearings. The can also be recognized as posterior distribution under Bayesian framework penalizing prior. give analysis asymptotic properties show that both traditional (TBML) LPML estimators are asymptotically efficient estimators. To compare performances TBML estimators, analyze...

The formulation of a wide variety image recovery problems leads to the minimization convex objective over set representing constraints derived from priori knowledge and consistency with observed signals. In previous years, nondifferentiable objectives have become popular due in part their ability capture certain features such as sharp edges. They also arise naturally minimax inconsistent theoretic problems. At same time, issue developing reliable numerical algorithms solve programs context...

A new subspace method is proposed to solve the bearing-only target localization (BOTL) problem. Instead of linearizing nonlinear bearing equations form least-squares optimization, we construct a scalar product matrix by making full use all and intersensor geometric information. After exploiting dimension eigenstructure matrix, devise algorithm for BOTL with its weights computed from prior location estimate. Simulation results show that achieves mean square error performance close Cramér-Rao...

Angles of arrival (AOAs), gain ratios (GROAs), and time differences (TDOAs) are the three most commonly used signal metrics for source localization in acoustic sensor array networks. It is intuitive to expect a performance increase by combining those metrics. In this paper, we develop feasible new positioning framework using joint AOA-GROA-TDOA measurements, establish Cramér-Rao lower bound (CRLB) method quantify compared with existing methods. Our analysis starts from received waveforms...

In order to solve the frequency modulation (FM) problem caused by load in virtual synchronous generator (VSG) system under an islanding state, this paper proposes a method based on active disturbance rejection control (ADRC). Firstly, design nonlinear function using rules of functions. Then, extended state observer (ESO) and feedback law (NLSEF) ADRC are designed function. By introducing into power–frequency loop VSG, error-free VSG is achieved. Finally, superiority proposed was verified...

In this paper, a new Cramér-Rao lower bound (CRLB) is derived for passive source localization based on angles-of-arrival (AOAs), gain ratios of arrival (GROAs) and time differences (TDOAs) in wireless sensor array network. The CRLB using AOA-GROA-TDOA (AGT) reduced to the one AOA-GROA if no coherence exists across arrays than AOA-only. When considered, AGT measurements consistently other known bounds AOA-only, TDOA-only AOA-TDOA.

We present a new subband information fusion (SIF) method for wideband direction-of-arrival (DOA) estimation using single sparse signal representation of multiple frequency-based measurement vectors. The problem DOA SIF is to jointly utilize all the frequency bin recover indicative vector (SIV). belongs domain and therefore it will suffer from two cases ambiguity: algebraic aliasing spatial aliasing. show that these categories ambiguity can be reduced by combining components. algorithm then...

We propose a new low complexity direction-of-arrival (DOA) estimation method based on sparse variable projection (SVP) optimization. This estimates an indicative vector that indicates the locations of DOA from each visual sources corresponding to sampling space and is particular useful simplify multiple measurement (MMV) problem as single recovery problem. The can be recovered by adding additional sparsity measure information. use ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

This paper proposes a mainlobe interference suppression method based on whitening filter for distributed array radar (DAR). Due to the equivalent large aperture of DAR, it is possible cancel without target signal suppression. For narrowband signal, time domain (TD-WF) used. As wideband or signals arriving at each antenna may have envelope migration problem, thus frequency (FD-WF) utilized in order avoid this problem. In addition, experiment carried out scenario involving an S-band...

In this study, the source localization problem is investigated using a group of networked sensors if only bearing measurements are available. The existing bearing-only (BOSL) methods subjected to critical problem, i.e., how achieve fine balance between computational complexity and positioning accuracy when threshold effect considered. A novel range-selective generalized weighted centroid (RSGWCL) estimator proposed address above-mentioned problem. Without effect, RSGWCL method capable...

In this paper, we present a multiple imputations particle filter (MIPF) to deal with non-linear state estimation when part of the observations are missing. The MIPF uses randomly drawn values called provide replacement for missing data and then estimate data. Unlike existing techniques, do not assume linear system also take into account time-varying transition matrix accounting We convergence analysis show that it is almost surely convergent. examples model, which demonstrate can effectively...

Wideband sparse spectral estimation is generally formulated as a multi-dictionary/multi-measurement (MD/MM) problem which can be solved by using group sparsity techniques. In this paper, the MD/MM reformulated single indicative vector (SIV) recovery at cost of introducing an additional system error. Thus, number unknowns reduced greatly. We show that error neglected under certain conditions. then present new subband information fusion (SIF) method to estimate SIV jointly utilizing all...

This paper proposes an improved zero-mean normalization sum of squared differences (ZNSSD) algorithm to solve the problem inability traditional structural measurement extract high-frequency vibration signals. In proposed technique, high-speed image sequence target is captured by a camera. Then, ZNSSD template matching with subpixel accuracy introduced process images in computer. Additionally, modified search algorithm, based on pyramid (ZNSSD-P), significantly reduce computation time and...

In this paper, we present a bearing-only on-line target localization platform, and succeed to realize the whole process of localization. experiment, five nodes are used send their moving bearing line data base station which adopts asynchronous pseudolinear (APL) estimator for The performance Direction-of-arrival (DOA) estimation is analyzed in both cases static target. results show single satisfying.

The accuracy of X-ray pulsar-based navigation is greatly affected by the Doppler effect caused spacecraft orbital motion and systematic biases introduced pulsar directional error, spacecraft-borne clock etc. In this paper, an innovative method simultaneously employing pulse phase (PP), difference two neighbor PPs (DPP) frequency (DF) pulsars as measurements proposed to solve problem. With aid dynamics, a single pair PP DF relative spacecraft's state estimation error can be estimated using...

A compressive sensing joint sparse representation direction of arrival estimation (CSJSR-DoA) approach is proposed for wireless sensor array networks (WSAN). By exploiting the spatial and spectral correlations acoustic data, CSJSR-DoA provides reliable DoA using randomly-sampled data. Since random sampling performed at remote arrays, less data need to be transmitted over lossy channels fusion center (FC), expensive source coding operation nodes can avoided. To investigate sparsity, an upper...

Compressive Sensing (CS) theory witnesses great breakthrough in signal acquisition and processing. In this paper we focus on the application of direction arrival (DoA) proposed a compressive sensing based direct DoA estimation framework (CS-DDoA) for wireless sensor array network. Unlike former reconstruction-processing scheme, CS-DDoA utilize spatial spectral sparsity target, then reformulates them into global problems. It eliminates error propagation between two independent procedure...

A constrained least-squares (CLS) 3D source localization method is presented for acoustic sensor networks with position errors. The proposed approach uses angles of arrivals (AOAs) and gain ratios arrival (GROAs) measured simultaneously at each node to estimate the jointly. Compared AOA-only methods, GROAs can be used in conjunction AOA measurements so as get more accurate results by exploiting geometrical relationship between these two measurements. time difference algorithm does not...

We apply multiple imputations particle filter (MIPF) to deal with non-linear state estimation problem in the presence of missing data. use replace present convergence analysis MIPF and show that it is almost surely convergent.We also examples a nonstationary growth model dual-sensor bearing-only tracking, which demonstrate can effectively data nonlinear problems.

Distributed array radar is a significant system, which can not only improve detection capability and measurement accuracy, but also suppress mainlobe interference effectively. However, due to its equivalent large aperture, the plane wave assumption fails. What's worse, target signals arriving at each may have envelope migration problem, thus traditional adaptive beamforming method becomes invalid. This paper proposes Fresnel based frequency domain for aperture distributed radar. Instead of...