Direction of arrival (DOA) estimation for coprime multiple-input multiple-output radar is studied, and a combined unitary signal parameters via rotational invariance technique (ESPRIT)-based algorithm proposed. The transmitter the receiver adopt arrays, which are sparse but still uniform. Therefore, ESPRIT first used to obtain arbitrary ambiguous DOA estimations based on invariances transmit receive respectively. After recovering all other estimations, unique achieved by finding coincide...

A novel meta-heuristic algorithm named Egret Swarm Optimization Algorithm (ESOA) is proposed in this paper, which inspired by two egret species' hunting behavior (Great and Snowy Egret). ESOA consists of three primary components: a sit-and-wait strategy, aggressive strategy as well discriminant conditions. The learnable guides the to most probable solution applying pseudo gradient estimator. uses random wandering encirclement mechanisms allow for optimal exploration. model utilized balance...

Abstract In engineering fields, time‐varying matrix inversion (TVMI) issue is often encountered. Zeroing neural network (ZNN) has been extensively employed to resolve the TVMI problem. Nevertheless, original ZNN (OZNN) and integral‐enhanced (IEZNN) usually fail deal with problem under unbounded noises, such as linear noises. Therefore, a model that can handle noise interference urgently needed. This paper develops double (DIEZNN) based on novel integral‐type design formula inherent...

The number of users is huge in cloud computing,and the tasks and amount data are also huge.How to schedule efficiently an important issue be resolved computing environment.A Double-Fitness Genetic Algorithm(DFGA) was brought up for programming framework computing.Through this algorithm,the better task scheduling not only shortens total-task-completion time has shorter average-completion time.There a contrast between DFGA Adaptive Algorithm(AGA) through simulation experiment,and result is:the...

In this letter, the problem of joint angle and array gain-phase error estimation for bistatic multiple-input multiple- output (MIMO) radar is investigated, an algorithm with characteristics multiple signal classification (MUSIC) proposed. Through reduced-dimension transform, angles can be obtained via two one-dimensional peak searches, estimated by utilizing angles. The proposed achieve automatically paired estimations angles, suitable non-uniform linear array. For case separately-located...

Direction of arrival (DOA) estimation using coprime array is studied, and an extended-aperture unitary root multiple signal classification (MUSIC)-based method proposed. The geometry prototype modified through some translations, which enable one subarray the to achieve aperture extension after transformation. Then, other can also be extended based on rotational invariance subarray, 2-D parameter estimations from two subarrays achieved in succession via 1-D MUSIC-based technique. Finally,...

The increasing of illegal radiations, which are either artificial or unintentional, has seriously influenced the reliable communication and operation industrial facilities. In this article, we discuss simultaneous localization multiple emitters based on big data monitored by a moving unmanned aerial vehicle. Conventional direct position determination (DPD) method suffers from non-homogeneity observation error is sensitive to environment, so develop weight DPD methods. First, consider...

The global positioning system (GPS), which provides ubiquitous location-awareness with a constellation of satellites, has become an instrumental function multiple mass-market applications. Satellite signals, however, may not be capable penetrating obstacles in harsh environments (e.g., urban canyons, tree canopies, and flyovers). Hence, GPS provide adequate localization accuracy for applications like autonomous vehicles. Resorting to data fusion heterogeneous signals emanating from anchors,...

Direction of arrival (DOA) estimation quasi-stationary signals (QSS) is discussed in this paper, and an algorithm using unfolded coprime array proposed. Coprime consists two uniform linear subarrays with relationship, the paper are arranged along positive axis negative axis, respectively. Through vectorization low dimensional cross-covariance matrix further exploiture non-circularity within second-order statistics QSS, 2MN-1 degrees freedom can be achieved M+N physical elements. The...

A two-dimensional (2-D) off-grid direction of arrival (DOA) estimation method using unfolded parallel coprime array (UPCA) is proposed. The proposed UPCA ensures large inter-element spacing, which robust to the mutual coupling problem, and 2-D DOA problem transformed into one dimensional sparse representation (SR), reduces computation complexity. Besides, taken account compensated through joint recovery, only requires a rough grid. Without prior knowledge source number, algorithm achieves...

As a classic positioning algorithm with simple principle and low computational complexity, the trilateration utilizes coordinates of three anchor nodes to determine position an unknown node, which is widely applied in various scenes. However, due environmental noise, interference, distance estimation error, uncertainty nodes' coordinates, other negative factors, error increases significantly. For this problem, we propose new based on combination K-Means clustering effectively remove results...

Coprime arrays have been a topic of interest in the field MIMO radar due to enhanced array aperture and mitigated mutual coupling effect, but existing holes its coarray significantly reduces number degrees freedom (DOFs) degrades angle estimation performance. In this paper, tensor completion method is presented for bistatic coprime improve Specifically, we first employ interpolation on sum-difference (SDCA) generated by radar. Then, introduce transmission reception spatial smoothing...

The deformation behaviour of immersed tunnels with prefabricated push-out closure joint remains unclear. In this study, four model tests were conducted to simulate subjected differential settlements. impact different settlement crossings on behaviours was analyzed. Results indicate that directly at the position causes significant shear displacement, decreased perpendicular axial movement. shows bidirectional movement, while flexible primarily undergoes unidirectional compression. direction...

Abstract This paper presents an adaptive tube‐based stochastic model predictive control algorithm for linear systems with state‐dependent additive uncertainties. Specifically, the uncertainty of system is modeled using Gaussian process regression, and information predicted by regression online leveraged to establish a confidence region uncertainty. By employing this region, time‐varying probabilistic reachable set, referred as tube, computed. Subsequently, process‐based devised set redefine...

Crossing major active faults is often unavoidable for pipelines in earthquake-prone regions. This study explores a finite difference analytical solution continuous subjected to normal faulting. The effectiveness of the proposed method evaluated by comparing calculated results with data from centrifuge and full-scale laboratory tests. Combining Lasso regression machine learning technique, multi-parameter probabilistic risk assessment can be performed generate fragility curves. Probability...

Two-dimensional (2D) direction-of-arrival (DOA) estimation has played an important role in array signal processing. In this article, we address a problem of bind 2D-DOA with L-shaped array. This article links the to trilinear model. To exploit link, derive decomposition-based algorithm Without spectral peak searching and pairing, proposed employs well. Moreover, our much better performance than parameters via rotational invariance technique algorithms propagator method. Simulation results...

The coprime array owns a sparse structure, which can effectively alleviate mutual coupling, while the holes existing in difference co-array(DCA) greatly reduce number of uniform degrees freedom(uDOFs). In this letter, we propose new structure called hole-free (HFCA) by carefully assembling subarrays, and resulting HFCA generate DCA. Furthermore, derive optimal that produce largest DCA with given sensors, contributes to an increase uDOFs compared structures. addition, simulations are provided...