• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.22-22
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• 2004

본 연구에서는 기존 개발된 이족보행 로봇의 자율 보행 및 지능화론 위하여 다양한 센서 시스템을 구성하여 이족보행 로봇에 적용하였다. 개발된 이족보행 로봇이 미지의 환경 내에서 지능적으로 원활한 자율 보행을 할 수 있도록 다양한 센서 시스템을 구성하였다. 센서들은 물체의 거리 측정 및 장애물을 회피하기 위해 초음파 센서, 적외선 센서를 적용하고, 대차물체의 탐색을 위해 비젼 시스템을 적용하였다. 또한 이족보행 로봇의 자세유지를 위한 자이로 센서와 보행시 로봇의 발바닥 착지 유무 및 바닥의 기울기 검출을 위한 압전 센서를 적용하였다.(중략)

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.6
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• pp.1438-1446
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• 1996

Infrared seekers using reticles with a single detector have been widely used due to small size and low cost. However, the analysis of the error signals and the performance in multiple targets are performed either simplistically or not at all. In this paper, we present detector signals and processing results using image and signal processing techniques, especially performance analysis in multiple targets. The simulation results are essential to make the advanced signal processing part of retical seekers which can deal with various engagement scenarios.

• Journal of the Korea Institute of Military Science and Technology
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• v.5 no.3
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• pp.113-119
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• 2002

A target adaptive guidance(TAG) algorithm is proposed employing the near-zone signal that can be measured from an infrared seeker. The guidance order is composed of a conventional PNG command and an additional command to be calculable from an additional LOS rate between a hot point of target and a required intercept point. The characteristic of the near-zone signal is similar to that of LOS rate that is inversely proportional to the square of time-to-go. Hence the proposed scheme can be applied to real systems with no estimator for time-to-go. From analysis results on the miss distance with perfect missile and perfect seeker, it follows that the proposed TAG algorithm guarantees missile to be ideally guided to the required intercept point. And it is less affected by the TAG start time and a proportional navigation ratio than other TAG schemes using a LOS rate such as a step bias or a ramp bias.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.6
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• pp.776-784
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• 2009

The function of DIRCM(Directed Infrared Countermeasures) jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. The DIRCM jamming uses the pulsing flashes of IR energy and its frequency, phase and intensity have influence on the missile guidance system. In this paper, we analysis the DIRCM jamming effect of spin-scan reticle seeker. Simulation results show that the jamming effect is greatly influenced by frequency, phase and intensity of the jammer signal.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.2
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• pp.15-22
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• 2005

This paper represents the sensor combination technique of mobile robot to reduce the ambiguity and uncertainty of environment that prevents the mobile robot from recognizing the path planning and navigation. The sensors such as optical encoder, ultra sonar sensor, and infra-red sensor gathered the dynamic information of mobile robot that are used to detect the obstacle. Therefore, the mobile robot controller with sensor combination is stably demonstrated by the experimental results.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.2
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• pp.304-312
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• 2010

The function of IRCM(Infrared Countermeasures) jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. This paper analyzes the jamming effect of IRCM jamming for a stationary reticle seeker. The phase error containing the azimuth angle information of target is analyzed for the intensity, frequency and duty ratio variation of the jammer pulse signal. We confirmed that the more the jammer frequency is similar to the spinning frequency of the stationary seeker, the more jamming effect is high.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.4
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• pp.406-411
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• 2005

In this paper, we present the area-based Q-learning to search a target object using multiple robot. To search the target in Markovian space, the robots should recognize their surrounding at where they are located and generate some rules to act upon by themselves. Under area-based Q-learning, a robot, first of all, obtains 6-distances from itself to environment by infrared sensor which are hexagonally allocated around itself. Second, it calculates 6-areas with those distances then take an action, i.e., turn and move toward where the widest space will be guaranteed. After the action is taken, the value of Q will be updated by relative formula at the state. We set up an experimental environment with five small mobile robots, obstacles, and a target object, and tried to search for a target object while navigating in a unknown hallway where some obstacles were placed. In the end of this paper, we presents the results of three algorithms - a random search, area-based action making (ABAM), and hexagonal area-based Q-teaming.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.97-106
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• 2015

In this paper, the development of infrared threat surrogate system is described and it can be used to verify the performance of DIRCM system. In this research, threat surrogates are manufactured using same F# and reflective optics used in 1st- and 2nd-Gen. real seeker so that the threat surrogate system can be used to develop code-based jamming techniques. Also the threat surrogate system can analyze the saturation jamming effect for image seeker using FPA detector. The result shows that 1st- and 2nd-generation threat surrogates have relatively precise tracking performance and jamming effect.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.2
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• pp.1-14
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• 2000

The rosette-scan seeker, mounted on the infrared guided missile, is a device that tracks the target It can acquire the 2D image of the target by scanning a space about target in rosette pattern with a single detector Since the detected image is changed according to the position of the object in the field of view and the number of the object is not fixed, the unsupervised methods are employed in clustering it The conventional ISODATA method clusters the objects by using the distance between the seed points and pixels So, the clustering result varies in accordance with the shape of the object or the values of the merging and splitting parameters In this paper, we propose an Array Linkage Clustering Algorithm (ALCA) as a new clustering algorithm improving the conventional method The ALCA has no need for the initial seed points and the merging and splitting parameters since it clusters the object using the connectivity of the array number of the memory stored the pixel Therefore, the ALCA can cluster the object regardless of its shape With the clustering results using the conventional method and the proposed one, we confirm that our method is better than the conventional one in terms of the clustering performance We simulate the rosette scanning infrared seeker (RSIS) using the proposed ALCA as an infrared counter countermeasure The simulation results show that the RSIS using our method is better than the conventional one in terms of the tracking performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.5A
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• pp.763-771
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• 2000

Reticle systems, which are widely used in infrared (IR) missile seekers, are considered to be the classical approach for estimating the position of a target in the field of view (FOV). This paper presents an effective simulation tool that gives tracking results of the concentric annular ring reticle seeker. We construct the concentric annular ring reticle seeker on Matlab-Simulink for a dynamic simulation. Our simulation model provides tracking results in various cases, and is applicable to the study of the development of the advanced seekers. While false targets such as flares are presented in the FOV, simulation results show that the existing seeker cannot determine a precise target location. In order to decrease the susceptibility to countermeasures such as flares, we propose an efficient counter-countermeasure using the correlated relationship of modulated signals and the references. We have ascertained that the reticle seeker using our technique make more effective target tracking than previous seekers.