• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.120-124
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• 2017

This paper describes the product of search and rescue system with dynamic model. This spread spectrum system based new standard of COSPAS-SARSAT is results of RF signal generation and transmission. we will test performance evaluation which implement signal process adapting Dynamic model and we will adapt the CAF model using TDOA and FDOA relationship.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.33A no.7
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• pp.44-54
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• 1996

In DS/SS systems it is necessary to synchronize the locally generated despreading signal with the received spreading signal to demodulate the received signal. The synch process between the two signals is usually accomplished in two steps : first acquisition then tracking. In this paper, an acquisition system aided by the neural network is proposed for the rapid and exact acquisition in DS/SS. the neural netowrk is composed o fthree-layered perpecptrons and trained by the backpropagation algorithm. The performance of the proposed system is analyzed and compared with ones of conventional systems using the sequential estimation technique under an additive while gaussian noisy channel. In all of th econsidered simulations, the proposed system outperforms conventional systems.

• Journal of the Korean Institute of Telematics and Electronics
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• v.16 no.6
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• pp.1-10
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• 1979

Recent progresses in the signal processing technique in digital domain as well as that of analogue, impose a heavy burden on scientists and engineers intending to study this dis cipline, we surveyed basic tools for these vast branches to help those who have concerns on this field without being buried in detailed techniques. The first article is naturally confined to the basic tools namely random process analysis and characterization of random signal by covariance function.

• Journal of Ocean Engineering and Technology
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• v.32 no.1
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• pp.62-67
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• 2018

A wave buoy commonly used for measurements in marine environments is very useful for measurements on the sea surface wind and waves. However, it is constantly exposed to external forces such as typhoons and the risk of accidents caused by ships. Therefore, the installation and maintenance charges are large and constant. In this study, we developed a system for monitoring the sea surface wind using marine radar to provide spatial and temporal information about sea surface waves at a small cost. The essential technology required for this system is radar signal processing. This paper also describes the analytical process of using it for monitoring the sea surface wind. Consequently, developing this system will make it possible to replace wave buoys in the near future.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.973-974
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• 2008

As radar signal environments become denser and more complex, the capability of high-speed and accurate signal analysis is required for ES(Electronic warfare Support) system to identify individual radar signals at real-time. In this paper, we propose the new novel clustering algorithm of radar pulses to alleviate the load of signal analysis process and support reliable analysis. The proposed algorithm uses KDE(Kernel Density Estimation) and its CDF(Cumulative Distribution Function) to compose clusters considering the distribution characteristics of pulses. Simulation results show the good performance of the proposed clustering algorithm in clustering and classifying the emitters.

• JSTS:Journal of Semiconductor Technology and Science
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• v.13 no.6
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• pp.608-616
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• 2013

This paper presents an adaptive sampling method for electrocardiogram (ECG) signal detection. First, by employing the strings matching process with compression dictionary, we recognize each segment of ECG with different characteristics. Then, based on the non-uniform sampling strategy, the sampling rate is determined adaptively. As the results of simulation indicated, our approach reconstructed the ECG signal at an optimized sampling rate with the guarantee of ECG integrity. Compared with the existing adaptive sampling technique, our approach acquires an ECG signal at a 30% lower sampling rate. Finally, the experiment exhibits its superiority in terms of energy efficiency and memory capacity performance.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.53-56
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• 2001

With the ever increasing clock frequency and integration level of CMOS circuits, I/O(input/output) and interconnect issues are becoming a growing concern. In this thesis, we propose the 2.5Gbps high speed input driver This driver consists of four different blocks, which are the high speed serializer , PECL(pseudo emitter coupled logic) Line Driver, PLL(phase lock loop) and pre-emphasis signal generator. The proposed pre-emphasis block will compensate the high frequency components of the 2.5Gbps data signal. Using the pre-emphasis block, we can obtain 2.5Gbps data signal with differential peak to peak voltage about 900 m $V_{p.p}$ This driver structure is on fabrication in 2.5v/10.25um 1poly, 5metal CMOS process.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.137-140
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• 2001

This paper shows an asynchronous comparator circuit for 1.2Gbps signal receiver that converts 1.2Gbps data rate input signals with less than 100㎷ swing to on-chip CMOS compatible voltage levels in a 0.35${\mu}{\textrm}{m}$ CMOS process. Folded-cascode nMOS input stage with source-coupled pMOS input stage cover rail-to-rail input common-mode range. Drastic gain-bandwidth increment due to gain-boosting stage with positive-feedback latch as well as wide input common-mode range make designed circuit be suitable for a fully differential signal receiver. HSPICE simulation results show that worst-case sensitivity is less than 20㎷ and maximum propagation delay is 640-psec. And also we verified 3.97㎽ power consumption with 150㎷ differential swing amplitude at 1.2Gbps.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.10
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• pp.135-140
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• 1997

The detection of cutting tool states in machining is important for the automation. The information of cutting tool states in metal cutting process is uncertain. Hence a industry needs the system which can detect the cutting tool states in real time and control the feed motion. Cutting signal features must be sifted before the classification. In this paper the Fisher's linear discriminant function was applied to the pattern recognition of the cutting tool states successfully. Cutting conditions and cutting force para- meters have shown to be sensitive to tool states, so these cutting conditions and cutting force paramenters can be used as features for tool state detection.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.7
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• pp.154-162
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• 1996

The test and evaluation is a integal part of the radar development process and it consists of two parts, field test and in-house test using a standard simulated signal. To take the in-house test, the test environment is needed to generate the critical signal that is used to determine the system design parameters and consists of general urpose measurement equipments, specialized boards and operating softwares. This paper presents the in-house test environment configuration and its function for radar system. Because this test environment genrates the simulated radar signal which has arbitrary flight path and target condition, the developed test environment makes easily to evaluate the function for radar system. The program ability of test parameters makes it possible to apply a test for 2D and 3D radar system.