To meet the requirements of safety, concealment, and timeliness trajectory planning during unmanned aerial vehicle (UAV) penetration process, a three-dimensional path algorithm is proposed based on improved holonic particle swarm optimization (IHPSO). Firstly, terrain threat, radar detection, time in process UAV are quantified. Regarding threats, echo analysis method cross section (RCS) spatial situation to quantify concealment penetration. Then structure-particle (PSO) from three aspects....

This paper considers the problem of multiple traveling salesperson (MTSP) with depots and closed path. We analyzed advantages disadvantages Partheno-Genetic algorithm (PGA) in solving MTSP. By integrating reproduction mechanism invasive weed (IWO), we have solved defect that local information individuals PGA population may be missing, obtained improved (RIPGA), which greatly improves solution performance. comparing RIPGA other GAs intelligent algorithms on a large number (TSP) test...

It is difficult for the double suppression division algorithm of bee colony to solve spatio-temporal coupling or have higher dimensional attributes and undertake sudden tasks. Using idea clustering, after clustering tasks according attributes, clustered groups are linked into task sub-chains similarity. Then, based on correlation between clusters, child chains connected form a chain. Therefore, limitation solved that chain in can only be one dimension. When occurs, method inserting small...

Aiming at the cooperative passive location of moving targets by UAV swarm, this paper constructs a and tracking algorithm for target based on A optimization criterion improved particle swarm (PSO) algorithm. Firstly, localization method cluster is selected measurement model constructed. Then, problem improving accuracy transformed into obtaining more information. From perspective information theory, using as target, process static further deduced. The Recursive Neural Network (RNN) used to...

Abstract A method for Underdetermined Blind Source Separation is proposed using third‐order cumulants and tensor compression. To effectively suppress symmetrical distributed noise, the cumulant considered. Additionally, complexity of high‐dimensional tensors can be reduced through high order singular value decomposition (HOSVD) compression purposes. The begins by calculating whitening signals at different time delays, then stacks several into a fourth‐order tensor. HOSVD applied to tensor,...

To solve the problem of time difference arrival (TDOA) positioning and tracking targets by unmanned aerial vehicles (UAV) swarm in future air combat, this paper adopts TDOA method uses sensors UAV to locate target radiation sources. Firstly, a model for is set up under condition that error variance varies with received signal-to-noise ratio. The accuracy analyzed geometric dilution precision (GDOP). D-optimality criterion theoretically derived. positioned settled, maximum value Fisher...

The source location based on the hybrid time difference of arrival (TDOA)/frequency (FDOA) is a basic problem in wireless sensor networks, and layout sensors TDOA/FDOA positioning will greatly affect accuracy positioning. Using unmanned aerial vehicle (UAV) as base stations, by optimizing trajectory UAV swarm, an optimal configuration formed to improve target position velocity estimation. In this paper, model first established, under different configurations measurement errors simulated...

Aimed at the bottleneck of Firework Algorithm's performance and problem that it is easy to fall into local extremum, this paper introduces a chaotic map approach analyzes its statistical characteristics. New hybrid systems perturbation operator are designed. Based on different approaches, new Chaotic Algorithm (CFWA) proposed simulated by typical test functions. The results show generally better than original algorithms, approaches superior single approaches. In order further verify...

In the presence of main lobe jamming, performance modern radar system would degrade significantly. this study, a blind source separation (BSS) method based on an Adaptive Opposite Fireworks Algorithm (AOFWA) is proposed to address problem ineffective target echo detection when subjected jamming. First, signal model for BSS applied in anti-main jamming provided, and number signals estimated. Then, adaptive opposite learning operator designed improve optimization capability convergence speed...

To cope with the combat task allocation problems of aerial swarm, firstly, assumption battlefield environment was made. And two multi-attribute principal parts battlefield, swarm aerocraft (SA) and attacked target (AT) were analysed respectively. Secondly, based on comprehensive consideration stealth anti-stealth, attack counter attack, multi-vehicle cooperation, etc., objective function established after analysing costs benefits that SA taking reconnaissance, assessment. Then, model...

The separation of time–frequency mixing signals composed radar, communication, and jamming is the first step in integrated reception processing, which requires higher accuracy for complex blind source (CVBSS). However, traditional CVBSS methods have limitations such as low accuracy, a slow convergence speed, poor robustness signal-to-noise ratio (SNR) high jamming-to-signal (JSR) scenarios. To address above issues, this paper firstly establishes time delay mathematical model. A robust...

The restriction of the field view (FOV) enlargement and spatial resolution increase during optical monitoring was investigated. Traditional instruments usually have a fixed FOV in one test; thus, they low accuracy for small samples under large motions/deformations. To improve relatively an instrument, multiple-view 3D digital image correlation (3D-DIC) method based on pseudo-overlapped imaging is proposed. Using set components, can two FOVs with same camera, which converts pair cameras to...

How to evaluate the seepage safety status of concrete gravity dam under function short-period heavy rainfall and possible historical extreme reservoir water level during typhoon is an important issue considering safety-monitoring. Based on analysis monitoring series foundation uplift pressure, this paper assumed influential process antecedent as a normal distribution introduced mutation factor reflect uprush feature pressure high-influential typhoon. Moreover, corresponding hysteresis days...

Blind Source Separation (BSS) of complex signals composed radar, communication and jamming is the first step in an integrated electronic system, which requires higher accuracy separation. However, traditional Single-Channel (SCBSS) method has low separation poor robustness. Aiming at this problem, paper proposes a SCBSS based on spatial-temporal fusion deep learning model. This neural network model, realizes mixed by integrating Convolutional Neural Network (CNN) Bidirectional Long...

To solve the problem of selecting drones for passive positioning within unmanned aerial vehicle (UAV) swarm and optimizing corresponding trajectories. This article constructs a method determining trajectory UAVs based on an improved particle optimization (PSO) algorithm. Firstly, time difference arrival (TDOA) principle was introduced algorithm models were organized. Afterwards, objective function constraint conditions flight paths designed. The correlation between optimal solutions...

Aiming at the problem that initial value of Taylor algorithm may cause large error in localization result when solving unmanned aerial vehicle (UAV) swarms time-difference-of-arrival(TDOA) passive equation, a hybrid based on Chan-Taylor is proposed. The proposed this paper Chan algorithm, and then location used as iteration, stop iteration until lower than threshold, finally output result. Simulation results show accuracy, convergence speed adaptability are better original algorithm.

Based on quantum evolutionary algorithm and particle swarm optimization, a is proposed. In this algorithm, angle used to represent the qubit, new method learning from idea of presented determine rotation angle, He gate taken prevent premature convergence. Applying identify system parameter, comparing with conventional genetic experimental results illustrate that proposed has better performance than others. Meanwhile, it can also keep high identification ability existence noise.

Wolf Pack Algorithm (WPA) has been successfully applied in unconstrained global optimisation problems. In order to effectively solve the multi-constrained combinatorial problem such as Multidimensional Knapsack Problem (MKP), a hybrid repair operator based on its specific knowledge is designed and improve infeasible solutions. Moreover, inspired by reproductive modes of wolf pack, with help binary code, Hybrid Binary (HBWPA) proposed. Then HBWPA was tested problems from OR-Library validate...

For the first time , Holonic Particle Swarm Optimization (HPSO ) algorithm applies multiagent theory about improvement in PSO and achieved good results. In order to further improve performance of algorithm, this paper proposes an improved Adaptive (AHPSO) algorithm. Firstly, a brief review HPSO is carried out, can be studied three aspects: grouping strategy, iteration number setting, state switching discrimination. The uses approximately uniform strategy that simplest but does not consider...

Research on integrated process planning and scheduling (IPPS) is of great significance to the improvement overall quality machinery manufacturing system. In actual process, system often accompanied by some unpredictable uncertain disturbance factors, for instance processing time jobs changes due date, etc. These events will ultimately affect production efficiency customer satisfaction. Consequently, this paper considers multi-objective IPPS problem with date. A multi-layer collaborative...

In the direction of arrival (DOA) estimation sparse array received signals, accuracy grid search method in compressed sensing is improved with increase over-complete redundant dictionary elements. However, elements will lead to a significant computational complexity this method. order reduce caused by division, based on equivalent signal large aperture continuous difference co-array generated array, DOA using discrete Fourier transform (DFT) spectrum for initial proposed paper. After...