![Indonesian Journal of Electrical Engineering and Computer Science
Vol. 8, No. 3, December 2017, pp. 695 ~ 697
DOI: 10.11591/ijeecs.v8.i3.pp695-697 695
Received August 8, 2017; Revised October 27, 2017; Accepted November 15, 2017
Direction-Finding Scheme for Multi Base Position
Classification
Karpagavalli S*, Dr V Balamurugan
Research Scholar, AMET University, Chennai
Abstract
In GPS denied conditions Unpretentious course structures that work especially with an excessive
number of philosophies required after a colossal test that in the imaginative work gathering. The paper
proposed an idea to overcome a occurring due to GPS denied condition in view of 3D inertial course
system. The system would track the location for further improvement of an officer continuously in a multi-
floor building of a particular area. In the midst of an urban fight situation an operation of lobbyist or putting
out flames is really essential. The considerable number of fighters would be known about the area and
development among themselves and to the military troop outside the building. This framework is valuable
to lead the group appropriately in urban to protect the harmed individuals and it will demonstrate the
change of overview.
Keywords: GPS; microcontroller
Copyright © 2017Institute of Advanced Engineering and Science. All rights reserved.
1. Introduction
Navigation system is a viable application in business utilization of military, logical
machines. INS (Inertial route framework) gives a route arrangement by utilizing inertial sensors,
for example, accelerometer, weight sensor and magnetometer regardless of the area [1]. For
route frameworks INS is a suitable technique, [2] in some area blockage of GPS signal is
happening. It is attached to the body of a person to identify the exact location [3] through
wireless communication. It can be connected to the area administration of client in reality,
sports, diversions, military and so forth these days its request is expanding. A suitable INS [4] is
required with regards to an extent. This issue is illuminated by the improvement of MEMS sort
inertial sensors. The modified accelerometer information consolidated with appropriate
information to extent of relocation that happens in progression. This enables exact estimation of
position with respect to an underlying beginning stage. Acknowledgment of these periods
permits [5] assurance of the float mistake that happened in the middle of them. This enables
exact remedies to be made to accelerometer information in either a forward or in reverse way.
2. Background Study
Most of the endeavors were made for improvement in the inertial route framework. An
unpredictable inertial sensor blends [6] will happen for that we need to take step to minimize an
error occurring during that movement. These have been just marginally superior for utilizing
business pedometers. Direct approach of pedometer concentrates on tallying steps.
Evaluating of step is less exact. A solitary 3-axis accelerometer, is used to measure the body of
the mass direction and angular velocity in a view of pendulum. Between diverse sorts of
evaluating the pedometer readings created an important step which properly made tally shift.
Measuring and predictin software economics and productivity was proposed to give the
theoretical explanation for path finding based on the position of the system. This gives a road
map to future analysis. Secure and Efficient Distance Effect Routing Algorithm [7] for Mobility
(SE_DREAM) in MANETs was proposed that the path between the nodes and the finding
devices should be secured and trustworthiness. Underwater vehicle for surveillance [8] with
navigation and swarm network communication was proposed for navigating the devices under
the sea.](https://image.slidesharecdn.com/279134direction-findingschemeformultieditseptian-201016081322/85/27-9134-direction-finding-scheme-for-multi-edit-septian-1-320.jpg)
![IJEECS ISSN: 2502-4752
Direction-Finding Scheme for Multi Base Position Classification (Karpagavalli S)
697
4. Result
The simulation of the navigation track system has been shown in figure 2. This system
has been tested by sending a signal from the microcontroller to the GPS to track the exact
location. After that microcontroller send an alert signal to other remotely associated devices. As
a result a soldier can easily track the latitude and longitude of the position inside the building.
They can immediately send the instruction to troops who is available outside of the building. On
the other hand the system is designed based on the consideration of low cost and reliability.
Figure 2. Simulation of navigation system
5. Conclusion
Nowadays large number of application needs the autonomous position tracking using
data from inertial/magnetic modules. Finally the experimental results presented that the position
tracking with various motion types in 3D. Thus the exact position is identified by the proposed
inertial navigation system.
References
[1] D Alvarez, RC Gonzalez. Comparison of step length estimators from wearable accelerometer
devices. In Proc.IEEE 28th Annu. Int. Conf. Eng. Med. Biol. Soc. 2006: 5964–5967.
[2] KC Lan and WY Shih. Using simple harmonic motion to estimate walking distance for waistmounted
PDR. 2012.
[3] F Eric. Pedestrian tracking with shoe-mounted inertial sensors. In Proc.IEEE Comput. Graph. Appl.
2005; 25: 38–46.
[4] AR Jimenez, F Seco, C Prieto and J Guevara. A comparison of Pedestrian Dead-Reckoning
algorithms using a low-cost MEMS IMU. 2009.
[5] Fan Li, Chunshui Zhao, Guan zhong Ding, Jian Gong, Chenxing Liu, Feng Zhao. A Reliable and
Accurate Indoor Localization Method Using Phone Inertial Sensors. 2007.
[6] D Thomas, P Aggarwal, L Ojeda and J Borenstein. Map matching and heuristic elimination of gyro
drift for personal navigation systems in GPS denied conditions. Measurement Sci. Technol. 2011; 22:
025205.
[7] Shanthi HJ and Anita EM. Secure and Efficient Distance Effect Routing Algorithm for Mobility
(SE_DREAM) in MANETs. In Proceedings of the 3rd International Symposium on Big Data and Cloud
Computing Challenges (ISBCC–16’). Springer International Publishing. 2016: 65-80.
[8] Karthik S. Underwater vehicle for surveillance with navigation and swarm network
communication. Indian Journal of Science and Technology. 2014; 7: 22.](https://image.slidesharecdn.com/279134direction-findingschemeformultieditseptian-201016081322/85/27-9134-direction-finding-scheme-for-multi-edit-septian-3-320.jpg)
27 9134 direction finding scheme for multi edit septian
- 1. Indonesian Journal of Electrical Engineering and Computer Science Vol. 8, No. 3, December 2017, pp. 695 ~ 697 DOI: 10.11591/ijeecs.v8.i3.pp695-697 695 Received August 8, 2017; Revised October 27, 2017; Accepted November 15, 2017 Direction-Finding Scheme for Multi Base Position Classification Karpagavalli S*, Dr V Balamurugan Research Scholar, AMET University, Chennai Abstract In GPS denied conditions Unpretentious course structures that work especially with an excessive number of philosophies required after a colossal test that in the imaginative work gathering. The paper proposed an idea to overcome a occurring due to GPS denied condition in view of 3D inertial course system. The system would track the location for further improvement of an officer continuously in a multi- floor building of a particular area. In the midst of an urban fight situation an operation of lobbyist or putting out flames is really essential. The considerable number of fighters would be known about the area and development among themselves and to the military troop outside the building. This framework is valuable to lead the group appropriately in urban to protect the harmed individuals and it will demonstrate the change of overview. Keywords: GPS; microcontroller Copyright © 2017Institute of Advanced Engineering and Science. All rights reserved. 1. Introduction Navigation system is a viable application in business utilization of military, logical machines. INS (Inertial route framework) gives a route arrangement by utilizing inertial sensors, for example, accelerometer, weight sensor and magnetometer regardless of the area [1]. For route frameworks INS is a suitable technique, [2] in some area blockage of GPS signal is happening. It is attached to the body of a person to identify the exact location [3] through wireless communication. It can be connected to the area administration of client in reality, sports, diversions, military and so forth these days its request is expanding. A suitable INS [4] is required with regards to an extent. This issue is illuminated by the improvement of MEMS sort inertial sensors. The modified accelerometer information consolidated with appropriate information to extent of relocation that happens in progression. This enables exact estimation of position with respect to an underlying beginning stage. Acknowledgment of these periods permits [5] assurance of the float mistake that happened in the middle of them. This enables exact remedies to be made to accelerometer information in either a forward or in reverse way. 2. Background Study Most of the endeavors were made for improvement in the inertial route framework. An unpredictable inertial sensor blends [6] will happen for that we need to take step to minimize an error occurring during that movement. These have been just marginally superior for utilizing business pedometers. Direct approach of pedometer concentrates on tallying steps. Evaluating of step is less exact. A solitary 3-axis accelerometer, is used to measure the body of the mass direction and angular velocity in a view of pendulum. Between diverse sorts of evaluating the pedometer readings created an important step which properly made tally shift. Measuring and predictin software economics and productivity was proposed to give the theoretical explanation for path finding based on the position of the system. This gives a road map to future analysis. Secure and Efficient Distance Effect Routing Algorithm [7] for Mobility (SE_DREAM) in MANETs was proposed that the path between the nodes and the finding devices should be secured and trustworthiness. Underwater vehicle for surveillance [8] with navigation and swarm network communication was proposed for navigating the devices under the sea.
- 2. ISSN: 2502-4752 IJEECS Vol. 8, No. 3, December 2017 : 695 – 697 696 3. System Description The mechanical components, sensors, actuators, and hardware on a typical silicon substrate are coordinated by MEMS. It simply have measurements from 1 micron to 100 micron run. In transportation, broadcast communications and human services, it plays a vital role and made improvements. Almost every field has the scope of MEMS applications. For a warrior, the gadget must be little, light weight, exceptionally precise and expend low power. The device inbuilt has multiple sensors which meets the requirement of technology. The direction and movement of the soldier is analyzed by using the 6-DOF digital MEMS geo-magnetic module. This sensor has inbuilt 3-axis MEMS accelerometer and a 3-Axis MEMS magnetometer in a preferred chip. The altitude is derived from barometric digital MEMS pressure sensor. The communication is takes place through IEEE 802.15.4 to all the units which is a low power wireless network. Here in this system the monitoring unit is designed around a 65k color QVGA TFT touchscreen graphics LCD. Here we have used 32-bit arm cortex-m3 microcontroller. Soldier Mote Monitor Mote Figure 1. Block Diagram of navigation system Touch Screen panel QVGA TFT Color LCD Touch Screen Controller IEEE 802.15.4 Radio ARM Cortex-M3 GPIO SPI-2SPI-1 3.3V 5.0V Power Management Circuit IEEE 802.15.4 Radio ARM Cortex-M3 ARM Cortex-M3 I2 C Digital MEMS Geo- Magnetic Module 3 Axis MEMS Accelerometer 3 Axis MEMS Magnetometer + SPI I2C 3.3V 5.0V Power Management Circuit Digital MEMS Pressure Sensor
- 3. IJEECS ISSN: 2502-4752 Direction-Finding Scheme for Multi Base Position Classification (Karpagavalli S) 697 4. Result The simulation of the navigation track system has been shown in figure 2. This system has been tested by sending a signal from the microcontroller to the GPS to track the exact location. After that microcontroller send an alert signal to other remotely associated devices. As a result a soldier can easily track the latitude and longitude of the position inside the building. They can immediately send the instruction to troops who is available outside of the building. On the other hand the system is designed based on the consideration of low cost and reliability. Figure 2. Simulation of navigation system 5. Conclusion Nowadays large number of application needs the autonomous position tracking using data from inertial/magnetic modules. Finally the experimental results presented that the position tracking with various motion types in 3D. Thus the exact position is identified by the proposed inertial navigation system. References [1] D Alvarez, RC Gonzalez. Comparison of step length estimators from wearable accelerometer devices. In Proc.IEEE 28th Annu. Int. Conf. Eng. Med. Biol. Soc. 2006: 5964–5967. [2] KC Lan and WY Shih. Using simple harmonic motion to estimate walking distance for waistmounted PDR. 2012. [3] F Eric. Pedestrian tracking with shoe-mounted inertial sensors. In Proc.IEEE Comput. Graph. Appl. 2005; 25: 38–46. [4] AR Jimenez, F Seco, C Prieto and J Guevara. A comparison of Pedestrian Dead-Reckoning algorithms using a low-cost MEMS IMU. 2009. [5] Fan Li, Chunshui Zhao, Guan zhong Ding, Jian Gong, Chenxing Liu, Feng Zhao. A Reliable and Accurate Indoor Localization Method Using Phone Inertial Sensors. 2007. [6] D Thomas, P Aggarwal, L Ojeda and J Borenstein. Map matching and heuristic elimination of gyro drift for personal navigation systems in GPS denied conditions. Measurement Sci. Technol. 2011; 22: 025205. [7] Shanthi HJ and Anita EM. Secure and Efficient Distance Effect Routing Algorithm for Mobility (SE_DREAM) in MANETs. In Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’). Springer International Publishing. 2016: 65-80. [8] Karthik S. Underwater vehicle for surveillance with navigation and swarm network communication. Indian Journal of Science and Technology. 2014; 7: 22.