• Journal of the Korean Institute of Telematics and Electronics A
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• v.28A no.5
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• pp.347-354
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• 1991

In this paper, the Automatic Tracking Window(ATW) algorithm is applied to the Generalized Cross-Correlation(GCC) time delay estimation algorithm as a preprocessing. The Linear Prediction(LP) algorithm, which is a pararmetric spectral estimation algorithm, is applied to the time delay estimation. And the ATW, a preprocessing algorithm is applied to this algorithm too. This paper shows that the ATW algorithm attenuates the sidelobes very much and improves the resolution of the timedelay estimation.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06e
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• pp.169-172
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• 1998

본 논문에서는 ATW(Automatic Tracking Window)를 사용하여 입력신호를 처리한 후에 MUSIC을 사용하여 주파수를 추정하도록 알고리즘을 수정하므로써 MUSIC알고리즘의 Threshold효과를 개선할 수 있음을 보인다[1]. ATW 전처리는 일종의 대역 여파기 효과를 가지나 일반 대역 여파기와 다른 점은 사용자가 입력신호의 중심 주파수를 알지 못해도 된다는 장점을 갖는다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1123-1129
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• 2003

The noise of maneuvering submarines or vessels can be divided into the tonal signals and broadband ambient noise. Tonal signals are from the revolution of motors and engines of vessels, and broadband ambient noise is from the bubbles which are generated by the propellers and the flow of water around vessels. We can analyze the kinds and the speed of vessels if we analyze the tonal signals and ambient noise. But, it is difficult to divide the tonal signals form the ambient noise when the power of tonal signal is much weaker than the power of ambient noise. In this paper, we detect the direction of arrival(DOA) of the noises generated by vessels with the automatic tracking window(ATW) preprocessing algorithm, and make a beam to the direction of the targets. We suggest a method which can separate weak tonal signals from broadband ambient noise with the ATW algorithm.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.2
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• pp.106-110
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• 2004

The noise characteristics of the submarines and vessels are composed of tonal signals and background noises. Tonal signals are from the revolution of the motors or engines, and background noises are from the generation and disappearing of the bubbles around the vessels. We analyze the noises from maneuvering underwater vessels with ATW algorithm. We design broadband asymptotic noise generator using Hilbert transform and design the system which can generate asymptotic noise with sum of generated background noise and synthesized tonal signals. This system can be used as a cheating system from the torpedo shacks.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.12
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• pp.1800-1809
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• 1990

This paper proposed a preprocessing algorithm which is named Automatic Tracking Window (ATW), which eliminates the effects of noises at spatial signals and spurious peaks at high-resolution algorithm in bearing estimation algorithm. This method estimates spatial spectrum by periodogram algorisdthm and hihg-resolution algorithm after preprocessing of spatial signal by automatically tracked window.