Multisensor measurement data association and its performance analysis

2002 ◽  
Author(s):  
Yin Chengyou ◽  
Zhang Jianhua
Keyword(s):  
Performance Analysis ◽  
Data Association ◽  
Measurement Data

scholarly journals Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaohua Li ◽  
Bo Lu ◽  
Wasiq Ali ◽  
Jun Su ◽  
Haiyan Jin
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Data Association ◽  
Measurement Data ◽  
Target Range ◽  
Multiple Target Tracking ◽  
Multiple Target ◽  
Multiple Sensors ◽  
Passive Sensors ◽  
Passive Measurements

The major advantage of the passive multiple-target tracking is that the sonars do not emit signals and thus they can remain covert, which will reduce the risk of being attacked. However, the nonlinearity of the passive Doppler and bearing measurements, the range unobservability problem, and the measurement to target data association uncertainty make the passive multiple-target tracking problem challenging. To deal with the target to measurement data association uncertainty problem from multiple sensors, this paper proposed a batch recursive extended Rauch-Tung-Striebel smoother- (RTSS-) based probabilistic multiple hypothesis tracker (PMHT) algorithm, which can effectively handle a large number of passive measurements including clutters. The recursive extended RTSS which consists of a forward filter and a backward smoothing is used to deal with the nonlinear Doppler and bearing measurements. The target range unobservability problem is avoided due to using multiple passive sensors. The simulation results show that the proposed algorithm works well in a passive multiple-target tracking system under dense clutter environment, and its computing cost is low.

scholarly journals Data Analysis and Model Validation of Natural Gas Transmission Pipeline With Compressor Station

2019 ◽  
Author(s):  
David Cheng
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Model Validation ◽  
Measurement Data ◽  
Real Life ◽  
Gas Pipeline ◽  
Physical Parameters ◽  
Pressure Drops ◽  
Natural Gas Transmission ◽  
Transmission Pipeline

Abstract Data from the DCS systems provides important information about the performance and transportation efficiency of a gas pipeline with compressor stations. The pipeline performance data provides correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedure, and a real life example of model validation based performance analysis of gas pipeline. Statistic methods are demonstrated with real gas pipeline measurement data. The methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in evaluating the fundamental physical parameters and assessing the pipeline hydraulics conditions for potential issues influencing pressure drops in the pipeline such as corrosion (ID change), roughness changes, or BSW deposition.

scholarly journals Research on Target Tracking Algorithm Using Millimeter-Wave Radar on Curved Road

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Shiping Song ◽  
Jian Wu ◽  
Sumin Zhang ◽  
Yunhang Liu ◽  
Shun Yang
Keyword(s):  
Target Tracking ◽  
Millimeter Wave ◽  
Data Association ◽  
Measurement Data ◽  
Tracking Algorithm ◽  
Computational Time ◽  
Millimeter Wave Radar ◽  
Wave Radar ◽  
Curved Road ◽  
Lane Position

Millimeter-wave radar has been widely used in intelligent vehicle target detection. However, there are three difficulties in radar-based target tracking in curves. First, there are massive data association calculations with poor accuracy. Second, the lane position relationship of target-vehicle cannot be identified accurately. Third, the target tracking algorithm has poor robustness and accuracy. A target tracking algorithm framework on curved road is proposed herein. The following four algorithms are applied to reduce data association calculations and improve accuracy. (1) The data rationality judgment method is employed to eliminate target measurement data outside the radar detection range. (2) Effective target life cycle rules are used to eliminate false targets and clutter. (3) Manhattan distance clustering algorithm is used to cluster multiple data into one. (4) The correspondence between the measurement data received by the radar and the target source is identified by the nearest neighbor (NN) data association. The following three algorithms aim to derive the position relationship between the ego-vehicle and the target-vehicles. (1) The lateral speed is obtained by estimating the state of motion of the ego-vehicle. (2) An algorithm for state compensation of target motion is presented by considering the yaw motion of the ego-vehicle. (3) A target lane relationship recognition model is built. The improved adaptive extended Kalman filter (IAEKF) is used to improve the target tracking robustness and accuracy. Finally, the vehicle test verifies that the algorithms proposed herein can accurately identify the lane position relationship. Experiments show that the framework has higher target tracking accuracy and lower computational time.

Data Analysis and Model Validation of Natural Gas Transmission Pipeline With Compressor Station

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
David Cheng
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Model Validation ◽  
Measurement Data ◽  
Gas Pipeline ◽  
Pipeline System ◽  
Actual System ◽  
Natural Gas Transmission ◽  
Transmission Pipeline ◽  
Performance Analysis Tools

Abstract Data from the distributed control system (DCS) or supervisory control and data acquisition (SCADA) system provide useful information critical to the evaluation of the performance and transportation efficiency of a gas pipeline system with compressor stations. The pipeline performance data provide correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedures, and an example of model validation-based performance analysis of a gas pipeline based on actual system operational data. An analysis approach based on statistical methods is demonstrated with actual DCS gas pipeline measurement data. These methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in assessing the pipeline hydraulics parameters that influence the pressure drop in the pipeline such as corrosion (inside diameter change), roughness changes, or basic sediment and water deposition.

New Method of Moving Targets Passive Tracking by Single Moving Observer Based on Measurement Data Fusion

2012 ◽  
Vol 239-240 ◽  
pp. 942-945
Author(s):  
Jie Gui Wang
Keyword(s):  
Data Fusion ◽  
Computer Simulations ◽  
Data Association ◽  
Measurement Data ◽  
Synthetic Data ◽  
Difficult Problem ◽  
Moving Targets ◽  
Passive Tracking ◽  
Multiple Measurements ◽  
New Location

Moving targets passive tracking by single moving observer is a difficult problem. A new location method based on measurement data fusion is proposed in this paper. Firstly, the adaptive passive tracking initiation algorithm is introduced. Secondly, a new data association algorithm is proposed, based on the data fusion of multiple measurements, the decision of synthetic data association is made. Finally, with the help of computer simulations, the proposed algorithms are proven to be correct and effective.

scholarly journals ANALYSIS OF CONDENSER PERFORMANCE DESALINATION OF SOLAR ENERGY OF THE NATURAL VACUUM SYSTEM AT THE TIME OF LOW RADIATION INTENSITY

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Himsar Ambarita ◽  
Eko Yohanes Setiawan
Keyword(s):  
Heat Transfer ◽  
Performance Analysis ◽  
Solar Radiation ◽  
Fresh Water ◽  
Solar Collector ◽  
Measurement Data ◽  
Vacuum System ◽  
Clean Water ◽  
Water Production ◽  
Main Component

Natural desalination device solar vacuum system has a main component of evaporator, condenser, and solar collector. The production of clean water from this appliance is strongly influenced by the performance of the condenser.On this research, condenser performance is performed when the intensity of solar radiation is low. The measurement data for 2 days when the sky is not bright is used to perform the condenser performance analysis. The result of analysis on the first day was found that the working energy of condensorsirippada was 141 J / day, while if without 29 J / day fins. So that the effectiveness of fins of 112 J / day. While on the second day found heat transfer using 122 J / day fins without fins 25 J / day to obtain fin effectiveness of 97 J / day. This is very influential on clean water production. The condensate rate on the 1st day is highest at 0.00018 kg / min, with an average of one day experiment 0.0001 kg / min, yielding fresh water of 0.8 Liter. On the 2nd day the highest condensate rate is 0.00019 kg / min with an average of condensate rate for one day 0.00011 kg / min, yielding fresh water of 0.81 Liter.

Evaluation and Enhancement of a One-Dimensional Performance Analysis Method for Centrifugal Compressors

2014 ◽  
Author(s):  
Enrico Klausner ◽  
Uwe Gampe
Keyword(s):  
Performance Analysis ◽  
Performance Prediction ◽  
Standard Procedure ◽  
Flow Analysis ◽  
Measurement Data ◽  
Theoretical Models ◽  
Analysis Method ◽  
Centrifugal Compressors ◽  
One Dimensional ◽  
The One

The one-dimensional flow analysis along a mean streamline is an appropriate and established procedure for initial design and performance analysis of turbomachinery. One such method for performance analysis of centrifugal compressors was published by Aungier in the 1990s. The latest description of Aungier’s performance prediction model was applied to a set of centrifugal compressor stages published in literature. For each test case the whole performance map was calculated and compared with measurement data. The calculation results correspond well with measured data over a wide operating range. However, near choke or stall the mean streamline performance prediction deviates from measurements. After evaluation of this “standard” mean streamline model specific loss correlations, e.g. for choking, incidence and shock losses were replaced by theoretical models. The aim was to implement a more physical based loss model which is able to predict the performance of compressor stages outside the limits of the standard procedure. The modified procedure was again validated against measurements of the above mentioned compressor stages. The modified procedure gives a better prediction of operating performance and behavior. Shortcomings of the procedure are still the overestimation of vaneless diffuser losses at low mass flow rates and the uncertainty in prediction of choke limit. In conclusion recommendations for advancement of the one-dimensional performance analysis method are given.

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