• Title/Summary/Keyword: 능동소나 시스템

Search Result 39, Processing Time 0.022 seconds

Underwater Acoustic Barrier with Passive Ocean Time Reversal and Application to Underwater Detection (수동형 해양 시역전 수중음향장벽과 수중탐지에의 응용)

  • Shin, Keecheol;Kim, Jeasoo
    • The Journal of the Acoustical Society of Korea
    • /
    • v.31 no.8
    • /
    • pp.551-560
    • /
    • 2012
  • Target detection by acoustic barrier method includes active and passive sonar technique and time reversal process whose theoretical background is already well defined. In this paper, the concept and theory of underwater detection by passive ocean time reversal is established. Also, the reason that this study was conducted was to investigate feasibility of complex mathematical modeling to provide some predictive capability for underwater acoustic barrier with passive time reversal. It may eventually lead to a useful predictive tool when designing underwater acoustic barrier detection system using the passive time reversal concept.

A Study on Effective Output Control Technique for Rotational Transmission Beam Drive of Sonar Transmitter (소나 송신기의 회전 송신빔 구동을 위한 효율적인 출력 제어 기법 연구)

  • Lee, Byung-Hwa
    • The Journal of the Acoustical Society of Korea
    • /
    • v.31 no.5
    • /
    • pp.280-287
    • /
    • 2012
  • This paper presents a study on the experimental analysis of the impedance characteristics according to the rotational direction of the transmission beam of a cylindrical sensor array. Besides, this suggests a real time control technique of the transmitter output for the effective maximum power transmission, in order to drive efficiently the rotational transmission beam of the active sonar transmitter. The output characteristics of the transmitter and the real-time impedance variations of the sensor array are analyzed under the overload conditions. They are caused by electric and acoustic boundary conditions when the rotational transmission beam is operated. From these results, a new output control method of the transmitter is proposed to protect the transmitter and its loads. It can maximize the output power without the transmission pause even if the transient phenomena occur. The proposed technique is verified from the experiment.

A study on wideband underwater acoustic signal amplifier design for generating multi-frequency (다중 주파수 재생을 위한 광대역 수중 음향 신호 증폭기 설계 연구)

  • Lee, Dong-Hun;Yoo, Seung-Jin;Kim, Hyeong-Moon;Kim, Hyoung-Nam
    • The Journal of the Acoustical Society of Korea
    • /
    • v.36 no.3
    • /
    • pp.179-185
    • /
    • 2017
  • The problem that occurred in the design/fabrication/testing of the wideband transmitting power amplifier for an embedded active SONAR (Sound Navigation and Ranging) system operating underwater was analyzed and the solution of the problem was proposed in this paper. Wideband acoustic SONAR systems had been developed in order to improve the underwater detection performance. The underwater acoustic transmission system had been also developed to achieve the wideband SONAR system. In this paper, the wideband acoustic transmission signal was generated using a 2 Level sawtooth type Class D PWM (Pulse Width Modulation) which was not complicated to implement. When the sonar signals having two or more frequencies were simultaneously generated, parasitic frequencies were added to the original signals by integer multiples of the frequency difference of the original signal. To cope with this problem, we proposed a way to remove the parasitic frequency from the source signal through modeling and simulation of the implemented power amplifier and PWM control hardware using MATLAB and Simulink.

A study on the active sonar reverberation suppression method based on non-negative matrix factorization with beta-divergence function (베타-발산 함수를 활용한 비음수 행렬 분해 기반의 능동 소나 잔향 제거 기법에 대한 연구)

  • Seokjin Lee;Geunhwan Kim
    • The Journal of the Acoustical Society of Korea
    • /
    • v.43 no.4
    • /
    • pp.369-382
    • /
    • 2024
  • To suppress the reverberation in the active sonar system, the non-negative matrix factorization-based reverberation suppression methods have been researched recently. An estimation loss function, which makes the multiplication of basis matrices same as the input signals, has to be considered to design the non-negative matrix factorization methods, but the conventional method simply chooses the Kullback-Leibler divergence asthe lossfunction without any considerations. In this paper, we examined that the Kullback-Leibler divergence is the best lossfunction or there isthe other loss function enhancing the performance. First, we derived a modified reverberation suppression algorithm using the generalized beta-divergence function, which includes the Kullback-Leibler divergence. Then, we performed Monte-Carlo simulations using synthesized reverberation for the modified reverberation suppression method. The results showed that the Kullback-Leibler divergence function (β = 1) has good performances in the high signal-to-reverberation environments, but the intermediate function (β = 1.25) between Kullback-Leibler divergence and Euclidean distance has better performance in the low signal-to-reverberation environments.

Possibility of False Target Signals Induced by Reverberation Due to Internal Waves in Shallow Water (천해에서 내부파로 인해 생성되는 잔향음에 의한 허위표적 신호 발생 가능성)

  • Lee, Sung Chun;Kim, Sunhyo;Choi, Jee Woong;Kang, Donhyug;Park, Joung Soo;Park, Kyeongju
    • The Journal of the Acoustical Society of Korea
    • /
    • v.34 no.2
    • /
    • pp.98-107
    • /
    • 2015
  • It is investigated that there exists the possibility of the false target signals induced by reverberation in an active sonar system due to the internal waves in shallow water. The rays down-refracted from the internal waves may generate strong bottom-reverberation signals, which can result in false target signals. Sound waves emitted from a source propagate 3-dimensionally. Therefore, the study of internal waves on the reverberation should be studied for azimuthal direction as well as 2-dimensional (r-z) plane. Internal-wave modelling was conducted, based on solitons which were predicted with the various conditions such as, the range of source-soliton, horizontal widths of soliton. Variable depth sonar (VDS) was assumed as a source, of which the depth was located in the minimum sound speed layer in a simulation environment. Finally, the simulation on the reverberation level with time was made based on ray-based reverberation model, and the results implied that several false-target signals could be displayed on the PPI(Plan Position Indicator) scope simultaneously with range from source to soliton, and the horizontal width of soliton.

A single sensor based active reflection control system using FxLMS algorithm (FxLMS를 이용한 단일 센서기반 능동 반향음 제어 시스템)

  • Kim, Jaepil;Ji, Youna;Park, Young cheol;Seo, Young soo
    • The Journal of the Acoustical Society of Korea
    • /
    • v.36 no.1
    • /
    • pp.57-63
    • /
    • 2017
  • This paper presents an active acoustic-reflection control algorithm based on a single sensor. The proposed algorithm operates in a system comprising a single sensor located nearby the reflective surface and a control transducer mounted on the reflective surface. First, the incident and reflected acoustic signals are separated from the sensor signal, and a control signal is generated using the separated signals. For the signal separation, the proposed algorithm requires the response of the reflection path which is estimated from the acoustic response between an external sound source and the sensor. Finally, the control filter is adjusted using the FxLMS (Filtered-x Least Mean Square) algorithm. To verify the effectiveness of the proposed algorithm, it was implemented in real time using a DSP (Digital Signal Processing) board, and the experimental results obtained in one-dimensional air-acoustic environment show that the reflections of the 1 kHz burst can be reduced by 11.6 dB.

A Robust Reverberation Rejection System against the Underwater Environmental Variations (수중 환경 변화에 강인한 잔향 제거 시스템)

  • 김기만
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.1 no.1
    • /
    • pp.65-70
    • /
    • 1997
  • An active sonar is used to the navigation system or military purposes. In the active sonar one of the problems is a reverberation. The reflected signals from surface, bottom, and volume are received at receiver. This reverberation is an interference in the active sonar, and for the enhanced performance must be rejected. In this paper I study the method to reject the reverberation. The proposed method use the orthogonal property between the signal subspace and noise subspace in the eigen subspace. In the proposed method the noise subspace is calculated. I have performed the computer simulations to prove the performance of the proposed method.

  • PDF

Real-Time Implementation of Active Classification Using Cumulative Processing (누적처리기법을 이용한 능동표적식별 시스템의 실시간 구현)

  • Park, Gyu-Tae;Bae, Eun-Hyon;Lee, Kyun-Kyung
    • The Journal of the Acoustical Society of Korea
    • /
    • v.26 no.2
    • /
    • pp.87-94
    • /
    • 2007
  • In active sonar system, aspect angle and length of a target can be estimated by calculating the cross-correlation between left and right split-beams of a LFM(Linear Frequency Modulated) signal. However, high-resolution performances in bearing and range are required to estimate the information of a remote target. Because a certain higher sampling frequency than the Nyquist sampling frequency is required in this performance, an over-sampling process through interpolation method should be required. However, real-time implementation of split-beam processing with over-sampled split-beam outputs on a COTS(commercial off-the-shelf) DSP platform limits its performance because of given throughput and memory capacity. This paper proposes a cumulative processing algorithm for split-beam processing to solve the problems. The performance of the proposed method was verified through some simulation tests. Also, the proposed method was implemented as a real-time system using an ADSP-TS101.

Echo Signal Synthesis of Underwater Target by Distributed Highlight Model (하이라이트 분포 모델에 의한 수중표적 에코신호 합성)

  • 김부일;박명호;권우현
    • The Journal of the Acoustical Society of Korea
    • /
    • v.19 no.7
    • /
    • pp.15-22
    • /
    • 2000
  • This paper proposes a distributed highlight algorithm to generate efficiently echo signal for underwater target. In this algorithm, echo signal is synthesized by discontinuity highlights that are varied to incident angle, by equivalent and specified position highlights according to the spatial target structure. Completed UTAHID(Underwater TArget by Highlight Distribution) model is confrimed that PTS, ETS, echo elongation effect, target time spreading loss and envelope fluctuation are satisfied to expected values by various simulations. Thus it can be efficiently used in all sorts of real systems related to underwater target echo signal synthesis in active sonar.

  • PDF

Active pulse classification algorithm using convolutional neural networks (콘볼루션 신경회로망을 이용한 능동펄스 식별 알고리즘)

  • Kim, Geunhwan;Choi, Seung-Ryul;Yoon, Kyung-Sik;Lee, Kyun-Kyung;Lee, Donghwa
    • The Journal of the Acoustical Society of Korea
    • /
    • v.38 no.1
    • /
    • pp.106-113
    • /
    • 2019
  • In this paper, we propose an algorithm to classify the received active pulse when the active sonar system is operated as a non-cooperative mode. The proposed algorithm uses CNN (Convolutional Neural Networks) which shows good performance in various fields. As an input of CNN, time frequency analysis data which performs STFT (Short Time Fourier Transform) of the received signal is used. The CNN used in this paper consists of two convolution and pulling layers. We designed a database based neural network and a pulse feature based neural network according to the output layer design. To verify the performance of the algorithm, the data of 3110 CW (Continuous Wave) pulses and LFM (Linear Frequency Modulated) pulses received from the actual ocean were processed to construct training data and test data. As a result of simulation, the database based neural network showed 99.9 % accuracy and the feature based neural network showed about 96 % accuracy when allowing 2 pixel error.