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The Integration of Simulation Model for Anti Missile Process Based on a DDS Real Time Platform

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2017 2nd International Conference on Information Technology and Management Engineering (ITME 2017) ISBN: 978-1-60595-415-8

The Integration of Simulation Model for Anti-Missile Process

Based on a DDS Real-Time Platform

Zhi-gang TIAN

1,2,*

, Chun-xia ZHAO

1

and Zhi-ping SHEN

3

1

Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing 210094, China

2

Beijing Institute of Specialized Machinery, Beijing, 100012, China 3

APPSOFT Technology Co. Ltd, Beijing, 100085, China

*Corresponding author

Keywords: Simulation model, Anti-missile procedure, DDS, Real-time platform.

Abstract. The framework of simulating experiment based on a real-time platform has been built by using DDS protocol. To realize the whole process simulation model integration and deduction of target detection, tracking, identification, interception and data communication of ballistic missile defense system, the communication control, system control and human-computer interaction mode based on real time network platform have been implemented in this paper. The simulation framework can effectively integrate all kinds of physical, semi physical and mathematical simulation models, and is compatible and extended.

Introduction

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Simulation Framework Based on Real-Time Platform

[image:2.612.138.477.183.486.2]

A typical anti-missile operation process is as follows: Early warning satellites first detect the intercontinental missile, and send detection information to the command and control center (C2BMC) through data link, then C2BMC fuses different detection information, the early warning information is transmitted to the early warning radar ground station. The command center fuses all kinds of alert data to forecast drop point of missile, threat area and degree of threat, threat level according to the commander prompt intercept strategy. Because of the high efficiency of the combat process, the simulation for this process has a high demand of real-time implementation.

Figure 1. A typical anti-missile operation process.

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fiber optic reflective memory network; the jammer signals through the coaxial cable directly into the radar signal receiving module.

Simulation

Design Evaluation

Simulation

member Data recorder Data display

Non-real-time layer

Weak real-time layer

Real-time management

Real-time Interface

Real-time data recorder Weak Real-time

mathematical model

Device Interface Strong Real-time

mathematical model

Strong real-time layer

Central Computer

Antenna beam analoger

Signal processor

Radar signal analoger Jamming

Device

Time Synchronize

[image:3.612.124.484.99.334.2]

Timing model

Figure 2. Brief framework of anti-missile simulation.

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Implementation of Real-Time Simulation Data Service Platform Based on Centric-DDS

In the simulation of anti-missile operation process, operating instructions, all information is distributed around the command and control center (C2BMC). Whether early warning satellite, radar, or the end of anti-missile weapons are all based on the synergy between C2BMC centralized control, so the structure of centric-DDS is more appropriate for simulation of anti-missile operation process. Command and control center C2BMC as the server node, detection equipment and other anti-missile weapons exist as a client node, the detection information is sent to C2BMC, or from C2BMC will hit the target location information in real time distributed to all nodes, hit detection. In the centralized DDS architecture, data distribution service network in the presence of a globally unique server node, the server node stores each node communication between the necessary information, including data type information, subject information, publish/subscribe. The advantage of this kind of structure is good at facilitating the coordination between systems.

[image:4.612.184.441.274.475.2]

The open source project TAO DDS has been adopted in this paper, the developing environment is ACE/TAO (Adaptive Communication Environment/The ACE ORB), its architecture is shown in figure.

DDS API Node of Satellite

DDS API

Node of early warning radar

DDS Server Node of C2BMC

DDS API

Node of anti-missile weapon

Pu

bl

is

h

to

p

ic

B

Su

bs

cr

ib

e

to

p

ic

C

Figure 3. General view of simulation based on Centric-DDS.

Process of data service. The whole process is shown in figure. Firstly, the publisher application

calls the “DDS interface” to register data type, topic and publishing information (①②③); Secondly,

the DDS service calls the “TAO interface” to complete remote registration (X, inner operation of TAO DDS middleware); Thirdly, subscriber application calls the “DDS interface” to register data

type, topic and publishing information (④⑤⑥);At the fourth step, the DDS service calls the “TAO

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Real time applic-atioin TAO Interfa -ce DDS Interfc -e Node of publisher

① ② ③ ⑦ TAO Interfa -ce TAO Interfa -ce TAO DDS Server

X DDS Data-base Real time applic-atioin TAO Interfa -ce DDS Interfc -e ④ ⑤ ⑥ ⑨ Y

Node of subscriber

Figure 4. Process of data service in TAO DDS.

Interface design for client node. In this framework, clients include node of space-based satellite, node of remote early warning radar and anti-missile weapon. On the Open DDS platform, it is also required to implement the corresponding interface. Each simulation node submits to the DDS server the subject that they want to publish or subscribe to, as well as the required QoS information. The DDS server will provide each simulation node subscription or release information, when a node is matched with the node information required, the server will automatically release nodes and node matching subscriptions. When the pairing is completed, a data transmission connection is established between the subscriber and the publisher. When a new data object is released by the publisher, the subscriber will receive the data notification immediately, and then process the data received. Direct communication between publishers and subscribers, the DDS server is not involved in data dissemination and access process, and not because of the performance of the server and bandwidth constraints affect the data interface.

Create DDS client. “CreateClient (client_type, Transport_type, data_type, Topic_type, Qos)”. This interface is used to create a client node which using DDS to deliver data. The parameters in the interface can specify the type of client to be created, the data transfer mode, the data type, the topic type, and the type of QoS policy. Among them, the client type can be a publisher or subscriber or both; data transmission can be TCP, UDP etc.; the data type is defined according to the needs of their own, DDS specification writing; topic types can define their own types; QoS strategy can choose from several predefined strategies in.

Set Qos strategy. The interface can be set according to the needs of the client to create the QoS strategy. Detailed Qos policy settings need to refer to the DDS specification to support the description of the various QoS strategies

Send data. SendData(Message_Head,Message_Body). This interface can send data to all interested subscribers

Deal with receiving data. OnDataArrival( ). This interface is used to process the received data, and the data is transmitted to the required local program module. For different data types or messages, different processing procedures are required.

Release resources. CleanUp(Client_Type). The interface is used to release the allocated related resources, to close the data transfer connection and to remove the registration from the service program.

Simulating Experiment

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[image:6.612.99.514.104.223.2]

framework of RTI and JMS (Java Message Service), the comparison has been repeated for seven times, here are the result of each experiment in Figure 5.

Figure 5. Comparison of latency and jitter between DDS, RTI and JMS.

Summary

A simulation framework for anti-missile operation based on centric-DDS platform has been constructed in this paper, and the result shows that this framework could be efficient and practical.

References

[1]Feng Zhao, Dun Lee, X. S. Wang, Missile defense radar simulation system, Journal of system simulation. 18 (2006) 1190-1194.

[2]Feng Zhao, X. S. Wang, Shunping Xiao, Research on parallel processing of phased array radar

system simulation based on HLA, Journal of system simulation. 18 (2006) 2170-2173.

[3]Jin Liu, Dejun Feng, Feng Zhao, The key model and implementation of the simulation system for

target recognition in middle segment of the ballistic trajectory, Journal of system simulation. 20 (2008) 4588-4592.

[4]Zhichao Zhao, X. S. Wang, Yi Liu, Simulation method of time division network based on single

semi physical radar, Journal of system simulation. 21 (2009) 5614-5617.

[5]Ying Zhou, Feng Zhao, Jia Luo, Anti jamming performance evaluation of phased array radar based on hardware in the loop and digital simulation, Space electronic countermeasure. 21 (2005) 25-28.

[6]M. Yeddanapudi, Y Bar-Shatom, K R Pattipati, et al. Ballistic missile track initiation from satellite observations [J]. IEEE Transactions on Aerospace and Electronic Systems (S0018-9251), 31(1995) 1054-1071.

Figure

Figure 1. A typical anti-missile operation process.
Figure 2. Brief framework of anti-missile simulation.
figure. Node of Satellite
Figure 5. Comparison of latency and jitter between DDS, RTI and JMS.

References

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