• Title/Summary/Keyword: High frequency active sonar

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Bearing/Range Estimation Method using NLS Cost Function in IDRS System (IDRS 시스템에서 Curve Fitting이 적용된 NLS 비용함수를 이용한 방위/거리 추정 기법)

  • Jung, Tae-Jin;Kim, Dae-Kyung;Kwon, Bum-Soo;Yoon, Kyung-Sik;Lee, Kyun-Kyung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.4
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    • pp.590-597
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    • 2011
  • The IDRS provides detection, classification and bearing/range estimation by performing wavefront curvature analysis on an intercepted active transmission from target. Especially, a estimate of the target bearing/range that significantly affects the optimal operation of own submarine is required. Target bearing/range can be estimated by wavefront curvature ranging which use the difference of time arrival at sensors. But estimation ambiguity occur in bearing/range estimation due to a number of peaks caused by high center frequency and limited bandwidth of the intercepted active transmission and distortion caused by noise. As a result the bearing/range estimation performance is degraded. To estimate target bearing/range correctly, bearing/range estimation method that eliminate estimation ambiguity is required. In this paper, therefore, for wavefront curvature ranging, NLS cost function with curve fitting method is proposed, which provide robust bearing/range estimation performance by eliminating estimation ambiguity. Through simulation the performance of the proposed bearing/range estimation methods are verified.

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
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    • v.26 no.2
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    • pp.87-94
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    • 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.

High-resolution range and velocity estimation method based on generalized sinusoidal frequency modulation for high-speed underwater vehicle detection (고속 수중운동체 탐지를 위한 일반화된 사인파 주파수 변조 기반 고해상도 거리 및 속도 추정 기법)

  • Jinuk Park;Geunhwan Kim;Jongwon Seok;Jungpyo Hong
    • 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.

Experiment and Simulation of Acoustic Detection for the Substitute for Sunken Hazardous and Noxious Substances Using the High Frequency Active Sonar (고주파 능동소나를 이용한 저층 침적 위험유해물질 대체물질 음향 탐지 실험 및 모의)

  • Han, Dong-Gyun;Seo, Him Chan;Choi, Jee Woong;Lee, Moonjin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.4
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    • pp.459-466
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    • 2018
  • Hazardous and Noxious Substances (HNS) are defined as substances that are likely to create a significant impact on human health and marine ecosystem when they are released into the marine environment. Recently, as the volume of HNS transported by ships increases, the rate of leakage accidents also increases. Therefore, research should be conducted to control and monitor sunken materials from the viewpoint of technology development for hazardous material leakage accident response. In this paper, acoustic detection experiments were carried out using HNS substitute materials in order to confirm the possibility of acoustic detection of sunken HNS on the sediment. The castor oil, which has a similar acoustic impedance with chloroform, is used as a substitute. 200 kHz high frequency signals were used to discriminate the reflected signals and measure reflection loss from the interface between water and castor oil. The reflection loss measured is in good agreement with the modeling results, showing a possibility of acoustic detection for sunken HNS.