• Title/Summary/Keyword: Generalized Sinusoidal Frequency Modulation (GSFM)

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A method for setting coherent processing interval of continuous active sonar based on correlation of GSFM pulse (GSFM 펄스의 상관도에 기반한 연속 송수신 소나의 신호처리 구간 설정 방법)

  • Kim, Hyeon-su;Kim, Hyun-woo;Lee, Won-oh;Park, Song-hwa;Lee, Jung-hoon;Park, Gyu-tae
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.5
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    • pp.401-407
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    • 2021
  • The continuous active sonar technology is effective for detecting and tracking targets because of short target revisiting rate. Generalized Sinusoidal Frequency Modulation (GSFM) pulses suitable for continuous active sonar systems are known to be capable of obtaining high time-bandwidth product while maintaining the orthogonality between pulses. However, it is unknown how to calculate an appropriate length of time to correlate received GSFM pulses in the presence of a target with acceleration. In this paper, we propose a method to calculate the appropriate time length based on the correlation when matching the received signal in the continuous active sonar system using GSFM pulse. The proposed method calculates the correlation according to the acceleration of the target and calculates the signal processing length according to the correlation. It is shown that stable detection performance can be obtained when the signal processing length calculated by the proposed method through the level of the sidelobe is applied.

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.

Multiple vertical depression-based HMS active target detection using GSFM pulse (GSFM 펄스를 이용한 다중 수직지향각 기반 선체고정소나 능동 표적 탐지)

  • Hong, Jungpyo;Cho, Chomgun;Kim, Geunhwan;Lee, Kyunkyung;Yoon, Kyungsik
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.4
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    • pp.237-245
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    • 2020
  • In decades, active sonar, which transmits signals and detects incident signals reflected by underwater targets, has been significantly studied since passive sonar in Anti-Submarine Warfare (ASW) detection performance becomes lowered, as underwater threats become their radiated noise reduced. In general, active sonar using Hull-Mounted Sonar (HMS) adjusts vertical tilt (depression) and sequentially transmits multiple Linear Frequency Modulation (LFM) subpulses which have non-overlapped bands, i. e. 1 kHz ~ 2 kHz, 2 kHz ~ 3 kHz, in order to reduce shadow zones. Recently, however, Generalized SFM (GSFM), which is generalized form of SFM, is proposed, and it is confirmed that subpulses of GSFM have orthogonality among each other depending on setting of GSFM parameters. Hence, in this paper, we applied GSFM to active target detection using HMS to improve the performance by the signal processing gain obtained from enlarged bandwidths of GSFM subpulses compared to those of LFM subpulses. Through simulation, we verified that when the number of subpulses is three, the matched filter gain of GSFM is approximately 5 dB higher than that of LFM.