Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module

被引:1
|
作者
Kim, Taehwan [1 ]
Bae, Keunsung [1 ]
机构
[1] Kyungpook Natl Univ, Sch Elect Engn & Comp Sci, Taegu 702701, South Korea
关键词
transient signal detection; underwater acoustics; EVRC;
D O I
10.1587/transfun.E93.A.1371
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Detection of transient signals is generally clone by examining power and spectral variation of the received signal, but it becomes a difficult task when the background noise gets large. In this paper, we propose a robust transient detection algorithm using the EVRC noise suppression module. We define new parameters from the outputs of the EVRC noise suppression module for transient detection. Experimental results with various types of underwater transients have shown that the proposed method outperforms the conventional energy-based method and achieved performance improvement of detection rate by 7% to 15% for various types of background noise.
引用
收藏
页码:1371 / 1374
页数:4
相关论文
共 50 条
  • [21] Data of contralateral suppression of transient evoked otoacoustic emissions for various noise signals
    Kalaiah, Mohan Kumar
    Shastri, Usha
    DATA IN BRIEF, 2021, 38
  • [22] Robust Identification of Heartbeats with Blood Pressure Signals and Noise Detection
    Yang, Bo
    Teo, Soo Kng
    Hoeben, Bart
    Monterola, Christopher
    Su, Yi
    2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41, 2014, 41 : 565 - 568
  • [23] Robust signals detection algorithm based on cyclostationarity in impulsive noise
    Na S.
    Li P.
    Zhang J.
    Liu Y.
    Tie Y.
    Jia Y.
    International Journal of Circuits, Systems and Signal Processing, 2020, 14 : 392 - 399
  • [24] ASYMPTOTICALLY ROBUST-DETECTION OF KNOWN SIGNALS IN NONADDITIVE NOISE
    BLUM, RS
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1994, 40 (05) : 1612 - 1619
  • [26] ROBUST DETECTION OF WEAK ACOUSTIC SIGNALS IN NOISE USING NEAR OPTIMAL SHRINKAGE IN RADON DOMAIN
    Aeron, Shuchin
    Bose, Sandip
    Valero, Henri-Pierre
    2012 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP), 2012, : 13 - 16
  • [27] ON THE DETECTION OF TRANSIENT SIGNALS USING SPECTRAL CORRELATION
    BAUGH, KW
    HARDWICKE, KR
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1994, 13 (04) : 467 - 479
  • [28] Fault detection using transient machine signals
    Timusk, Markus
    Lipsett, Mike
    Mechefske, Chris K.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2008, 22 (07) : 1724 - 1749
  • [29] THE THERMAL-NOISE LIMIT IN DETECTION OF UNDERWATER ACOUSTIC-SIGNALS - COMMENT
    SULLIVAN, EJ
    KEMP, KA
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1981, 70 (02): : 631 - 632
  • [30] Underwater multi-target passive detection based on transient signals using adaptive empirical mode decomposition
    Tian, Yiwei
    Liu, Meiqin
    Zhang, Senlin
    Zhou, Tian
    APPLIED ACOUSTICS, 2022, 190