• The Journal of the Acoustical Society of Korea
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• v.38 no.5
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• pp.534-542
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• 2019

In active SONAR, several different methods are used to detect range-Doppler information of the target. Compressive sensing based method is more accurate than conventional methods and shows superior performance. There are several compressive sensing algorithms for range-Doppler estimation of active sonar. The ability of each algorithm depends on algorithm type, mutual coherence of sensing matrix, and signal to noise ratio. In this paper, we compared and analyzed computational performance and accuracy of various compressive sensing algorithms for range-Doppler estimation of active sonar. The performance of OMP (Orthogonal Matching Pursuit), CoSaMP (Compressive Sampling Matching Pursuit), BPDN (CVX) (Basis Pursuit Denoising), LARS (Least Angle Regression) algorithms is respectively estimated for varying SNR (Signal to Noise Ratio), and mutual coherence. The optimal compressive sensing algorithm is presented according to the situation.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.10
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• pp.164-170
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• 2014

A single near-field sounde source bearing and ranging method based on a independent doublet array is proposed. In the common case of bearing estimation method, unform linear array or uniform circular array are used. It is constrained retaining aperture because of array structure to estimate the distance of the sound source. Recent using independent doublet array sound source's bearing and distance esmtimation method is proposed by wide aperture. It is limited to the case doublets are located on a straight line. In this paper, we generalize the case and estimate the localization of a sound source in the various array structure. The proposed algorithm was verified performance through simulation.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.4
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• pp.277-284
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• 2020

The remaining range between missile and target can be used to calculate the guidance command as well as to determine the explosion time of the warhead. Since the range, however, is not directly measured by on-board sensors of the missile, it is usually estimated by filter-based techniques using angle-only measurements. Conventional filter-based techniques are complex and require huge computation. In this paper, we propose a range estimation algorithm based on the geometrical triangulation principle for two points of missiles and a target. The proposed algorithm has a simple structure but the accuracy is largely dependent on the measurement errors. To improve the accuracy of estimation, Digital Fading Memory Filter (DFMF) is applied. The performance of the proposed algorithm is analyzed through numerical simulations.

• The Journal of the Acoustical Society of Korea
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• v.23 no.4
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• pp.282-287
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• 2004

This paper proposes the nearfield eigenvector method for array shape estimation using reference signals basted on the nearfield signal modeling. Generally. direction finding methods assume the reference signals to be plainwave. However, in case of the reference signals in nearfield, this assumption is inadequate for array shape estimation. In this paper. the nearfield reference signals are modeled. and we propose the nearfield eigenvector method. The numerical experiments indicated that the proposed method shows good performance for array shape estimation regardless of the ranges of the reference signals.

• The Journal of the Acoustical Society of Korea
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• v.42 no.4
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• pp.320-328
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• 2023

Underwater active target detection is vital for defense systems, requiring accurate detection and estimation of distance and velocity. Sequential transmission is necessary at each beam angle, but divided pulse length leads to range ambiguity. Multi-frequency transmission results in time-bandwidth product losses when bandwidth is divided. To overcome these problem, we propose a novel method using Generalized Sinusoidal Frequency Modulation (GSFM) for rapid target detection, enabling low-correlation pulses between subpulses without bandwidth division. The proposed method allows for rapid updates of the distance and velocity of target by employing GSFM with minimized pulse length. To evaluate our method, we simulated an underwater environment with reverberation. In the simulation, a linear frequency modulation of 0.05 s caused an average distance estimation error of 50 % and a velocity estimation error of 103 % due to limited frequency band. In contrast, GSFM accurately and quickly tracked targets with distance and velocity estimation errors of 10 % and 14 %, respectively, even with pulses of the same length. Furthermore, GSFM provided approximate azimuth information by transmitting highly orthogonal subpulses for each azimuth.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.811-814
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• 2007

맵 합병 알고리즘은 최근에 활발히 연구되고 있는 위치 추정 알고리즘의 한 유형이다. 본 논문에서는 두 개의 인접한 지역 맵을 합병하는 새로운 기법을 제안한다. 이 기법은 기존의 기법에 비해서 보다 많은 거리 정보를 활용함으로써 보다 정확한 맵 합병을 가능하게 한다. 우리가 제안한 합병 기법에 기초한 앵커프리 위치 추정 알고리즘을 제시하고 모의실험을 통하여 기존의 기법에 비하여 성능의 향상을 달성함을 입증하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.6
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• pp.146-151
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• 2016

In this paper, we present a method for estimating the ratio of CPA distance to velocity of underwater target using target bearing information in CPA situation. This ratio can be estimated by previous research which is Envelope CPA using proximity sensor but it has low performance if the target is close to receiver sensor or bigger interference caused by multi-path effects. Therefore we propose a Bearing CPA technique using a target bearing information as a way to overcome.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.6C
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• pp.554-561
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• 2010

This paper proposes an integer frequency offset estimation scheme robust to timing offset for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems. The proposed scheme exploits a feature that a sample distance between a continual pilot and a scattered pilot nearest to it in an OFDM symbol belongs to one of predetermined distances. First after calculating a correlation value of every continual pilot and its nearest scattered pilot. Then, it is divided into several groups according to the sample distances. Since correlation values with the same sample distance undergo the same effect of the timing offset, the effect of the timing offset can be removed by re-correlating these correlation values. From the simulation results we can confirm that the proposed algorithm estimates the integer frequency offset with the robustness to the timing offset when compared to a conventional scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.408-413
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• 2005

This paper presents a technique which extracts a moving object from omni-directional images and estimates a real coordinates of the moving object using 3D parabolic coordinate transformation. To process real-time, a moving object was extracted by proposed Hue histogram Matching Algorithms. We demonstrate our proposed technique could extract a moving object strongly without effects of light changing and estimate approximation values of real coordinates with theoretical and experimental arguments.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.353-356
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• 2007

chamfer 정합(matching)은 많은 응용분야에서 사용되온 에지(edge) 기반 정합기법으로, 변환된 모델에지와 영상에지간의 거리를 최소화하는 과정이다. 이 거리는 보통 거리변환을 이용하여 픽셀분해능으로 계산된다. 본 논문에서는 서브픽셀(subpixel) 거리계산을 위해 거리계산시 보간법을 사용하여, 정확한 chamfer 정합을 구현한, 개선된 chamfer 정합 방법을 제안한다. 또한, 보다 정밀한 정합을 위해, 최소거리를 갖는 픽셀위치의 주변영역을 이용하여 최적의 위치를 추정하지 않고, 서브픽셀로 실제 거리계산을 통해 최소 거리를 찾기 위해 Powell 의 최적화기법을 이용하였다. 실험결과는 제안된 방법의 타당성을 보여주었다.