ERROR LEVELS OF THE PASSIVE GONIOMETRIC LOCATION OF RADIATION SOURCES WITH THE INCREASING AMOUNT OF PROCESSED INFORMATION

2019 ◽  
Author(s):  
В.Н. Юдин ◽  
А.М. Волков
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Passive Location ◽  
Aircraft Carrier ◽  
Location Errors ◽  
Radiation Sources ◽  
Aerial Reconnaissance ◽  
Location Algorithm

Рассмотрены варианты повышения точности угломерной пассивной локации источников излучения с использованием одиночного авиационного носителя и алгоритма местоопределения на основе метода наименьших квадратов. Оценены достижимые уровни ошибок локации применительно к различным условиям ведения воздушной разведки источников излучения. Options for improving the accuracy of the goniometric passive location of radiation sources using a single aircraft carrier and location algorithm based on the least square method are considered.The achievable levels of location errors were assessed for different conditions of aerial reconnaissance of radiation sources.

ACHIEVABLE ERROR LEVELS OF THE PASSIVE GONIOMETRIC LOCATION OF RADIATION SOURCES BASED ON THE MAXIMUM LIKELIHOOD METHOD

2020 ◽  
Author(s):  
В.Н. Юдин ◽  
А.М. Волков
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Method ◽  
Likelihood Method ◽  
Passive Location ◽  
Aircraft Carrier ◽  
Location Errors ◽  
Radiation Sources ◽  
Aerial Reconnaissance ◽  
Location Algorithm

Рассмотрены варианты повышения точности угломерной пассивной локации источников излучения с использо- ванием одиночного авиационного носителя и алгоритма местоопределения на основе метода наибольшего правдоподобия. Оценены достижимые уровни ошибок локации применительно к различным условиям ведения воздушной разведки источников излучения. Options for improving the accuracy of the goniometric passive location of radiation sources using a single aircraft carrier and a location algorithm based on the maximum likelihood method are considered. Achievable levels of location errors are estimated for various conditions of aerial reconnaissance of radiation sources.

scholarly journals Angle of Arrival Passive Location Algorithm Based on Proximal Policy Optimization

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1558 ◽  
Author(s):  
Yao Zhang ◽  
Zhongliang Deng ◽  
Yuhui Gao
Keyword(s):  
Measurement Data ◽  
Gradient Methods ◽  
Least Square ◽  
Passive Location ◽  
Residential Areas ◽  
Angle Of Arrival ◽  
Data Set ◽  
Research Attention ◽  
Location Algorithm ◽  
Policy Optimization

Location technology is playing an increasingly important role in urban life. Various active and passive wireless positioning technologies for mobile terminals have attracted research attention. However, positioning signals experience serious interference in high-density residential areas or in the interior of large buildings. The main type of interference is that caused by non-line-of-sight (NLOS) propagation. In this paper, we present a new method for optimizing the angle of arrival (AOA) measurement to obtain high accuracy location results based on proximal policy optimization (PPO). PPO is a new family of policy gradient methods for reinforcement learning, which can be used to adjust the sampling data under different environments using stochastic gradient ascent. Therefore, PPO can correct the NLOS propagation errors to produce a clear AOA measurement data set without building an offline fingerprinting database. Then, we used the least square method to calculate the location. The simulation result shows that the AOA passive location algorithm based on PPO produced more accurate location information.

scholarly journals DV-Hop Node Location Algorithm Based on GSO in Wireless Sensor Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Ling Song ◽  
Liqin Zhao ◽  
Jin Ye
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Least Square Method ◽  
High Energy ◽  
Least Square ◽  
Wireless Sensor ◽  
Linear Solution ◽  
Node Location ◽  
Location Algorithm

Node location is one of the most important problems to be solved in practical application of WSN. As a typical location algorithm without ranging, DV-Hop is widely used in node localization of wireless sensor networks. However, in the third phase of DV-Hop, a least square method is used to solve the nonlinear equations. Using this method to locate the unknown nodes will produce large coordinate errors, poor stability of positioning accuracy, low location coverage, and high energy consumption. An improved localization algorithm based on hybrid chaotic strategy (MGDV-Hop) is proposed in this paper. Firstly, a glowworm swarm optimization of hybrid chaotic strategy based on chaotic mutation and chaotic inertial weight updating (MC-GSO) is proposed. The MC-GSO algorithm is used to control the moving distance of each firefly by chaos mutation and chaotic inertial weight when the firefly falls into a local optimum. The experimental results show that MC-GSO has better convergence and higher accuracy and avoids the premature convergence. Then, MC-GSO is used to replace the least square method in estimating node coordinates to solve the problem that the localization accuracy of the DV-Hop algorithm is not high. By establishing the error fitness function, the linear solution of coordinates is transformed into a two-dimensional combinatorial optimization problem. The simulation results and analysis confirm that the improved algorithm (MGDV-Hop) reduces the average location error, increases the location coverage, and decreases and balances the energy consumption as compared to DV-Hop and the location algorithm based on classical GSO (GSDV-Hop).

An Efficient and Fast Iris Location Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2549-2552
Author(s):  
Chun Lei Shi ◽  
Guang Yuan Jiang ◽  
Haiyan Qi ◽  
Fei Han
Keyword(s):  
Edge Detection ◽  
Radon Transform ◽  
Hough Transform ◽  
Least Square Method ◽  
Least Square ◽  
Threshold Method ◽  
Canny Operator ◽  
Edge Information ◽  
Localization Method ◽  
Location Algorithm

The edge information of pupil was extracted by the least-square method, and the iris outer circle was extracted by the improved Canny Operator plus Hough Transform. The segmental-secondary linear localization method adopting edge detection and Radon Transform was proposed to remove the noise from eyelid on the eyelid localization, the eyelash noise and eyelid shadows were removed by threshold method.

Stealth Target Location Algorithm for Low Altitude Based on Microwave Radiometer

2012 ◽  
Vol 463-464 ◽  
pp. 1299-1303
Author(s):  
Li Nan Liu ◽  
Xiao Meng Zhao ◽  
Tao Huang ◽  
Bin Yang
Keyword(s):  
Target Location ◽  
Microwave Radiometer ◽  
Least Square Method ◽  
Least Square ◽  
Newton Iterative Method ◽  
Localization Model ◽  
Localization Precision ◽  
Location Algorithm ◽  
Low Altitude ◽  
Fusion Approach

Based on the microwave radiometer for goals positioning the least-square method to basically have two kinds: using linear approximation, but positioning accuracy is lower; Or by using nonlinear approximate such as Newton iterative method, but need to consider iterative convergence and computation problem. Based on this situation, a new data fusion approach is given. This method for taking two vessels measurement use linear least squares to the fair, then introduced one kind of weighting operation to carry on the fusion to two vessels rendezvous result, get multiple-vessel localization model and the error analysis. The simulation result indicate that the new algorithm increase the localization precision, enhance the positioning stability.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

Peristaltic Carreau-Yasuda nanofluid flow and mixed heat transfer analysis in an asymmetric vertical and tapered wavy wall channel

2020 ◽  
Vol 1 (1) ◽  
pp. 128-140 ◽  
Author(s):  
Mohammad Hatami ◽  
◽  
D Jing ◽  
Keyword(s):  
Heat Transfer ◽  
Least Square Method ◽  
Weissenberg Number ◽  
Least Square ◽  
Heat Transfer Analysis ◽  
Phase Method ◽  
Nanofluid Flow ◽  
Two Phase ◽  
Nanoparticles Concentration ◽  
The Right

In this study, two-phase asymmetric peristaltic Carreau-Yasuda nanofluid flow in a vertical and tapered wavy channel is demonstrated and the mixed heat transfer analysis is considered for it. For the modeling, two-phase method is considered to be able to study the nanoparticles concentration as a separate phase. Also it is assumed that peristaltic waves travel along X-axis at a constant speed, c. Furthermore, constant temperatures and constant nanoparticle concentrations are considered for both, left and right walls. This study aims at an analytical solution of the problem by means of least square method (LSM) using the Maple 15.0 mathematical software. Numerical outcomes will be compared. Finally, the effects of most important parameters (Weissenberg number, Prandtl number, Brownian motion parameter, thermophoresis parameter, local temperature and nanoparticle Grashof numbers) on the velocities, temperature and nanoparticles concentration functions are presented. As an important outcome, on the left side of the channel, increasing the Grashof numbers leads to a reduction in velocity profiles, while on the right side, it is the other way around.

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