<b id="yfvhu"><address id="yfvhu"></address></b>
  1. <table id="yfvhu"><acronym id="yfvhu"><thead id="yfvhu"></thead></acronym></table>
  2. <source id="yfvhu"><td id="yfvhu"><output id="yfvhu"></output></td></source>

      [1]劉冰,殷敬偉,朱廣平,等.基于隨機算法的抗混響目標探測方法[J].哈爾濱工程大學學報,2020,41(2):277-281.[doi:10.11990/jheu.201905039]
       LIU Bing,YIN Jingwei,ZHU Guangping,et al.A target detection method in reverberation environment based on stochastic algorithm[J].hebgcdxxb,2020,41(2):277-281.[doi:10.11990/jheu.201905039]
      點擊復制

      基于隨機算法的抗混響目標探測方法(/HTML)
      分享到:

      《哈爾濱工程大學學報》[ISSN:1006-6977/CN:61-1281/TN]

      卷:
      41
      期數:
      2020年2期
      頁碼:
      277-281
      欄目:
      出版日期:
      2020-02-05

      文章信息/Info

      Title:
      A target detection method in reverberation environment based on stochastic algorithm
      作者:
      劉冰123 殷敬偉123 朱廣平123 郭龍祥123
      1. 哈爾濱工程的大學 水聲技術重點實驗室, 黑龍江 哈爾濱 150001;
      2. 海洋信息獲取與安全工業和信息化部重點實驗室(哈爾濱工程大學), 黑龍江 哈爾濱 150001;
      3. 哈爾濱工程大學 水聲工程學院, 黑龍江 哈爾濱 150001
      Author(s):
      LIU Bing123 YIN Jingwei123 ZHU Guangping123 GUO Longxiang123
      1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
      2. Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China;
      3. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
      關鍵詞:
      運動目標主動探測目標探測混響隨機算法低秩低秩結構低秩矩陣
      分類號:
      O427.9
      DOI:
      10.11990/jheu.201905039
      文獻標志碼:
      A
      摘要:
      為了解決在強混響環境下探測移動目標的問題,本文提出了一種探測方法。該方法利用了多幀數據之間的關聯特性,使用隨機算法對多幀數據進行線性測量,通過雙邊投影的方式提取了多幀數據的低秩結構從而抑制了混響,最終實現了對移動目標的探測。數值仿真和實驗的結果表明該方法能在強混響的環境下準確地探測到移動目標。與傳統方法相比,該方法優勢明顯,非常適合港口監測等混響環境嚴重的應用場景。

      參考文獻/References:

      [1] 楊益新, 韓一娜, 趙瑞琴, 等. 海洋聲學目標探測技術研究現狀和發展趨勢[J]. 水下無人系統學報, 2018, 26(5):369-387.YANG Yixin, HAN Yi’na, ZHAO Ruiqin, et al. Ocean acoustic target detection technologies:a review[J]. Journal of unmanned undersea systems, 2018, 26(5):369-387.
      [2] 張楊梅. 水下小目標主動探測關鍵技術研究[D]. 西安:西北工業大學, 2017.ZHANG Yangmei. Research on the key technologies of active detection of underwater small target[D]. Xi’an:Northwestern Polytechnical University, 2017.
      [3] 李暉宙, 劉正紅, 毛盾. 基于蛙人探測聲納序列圖像的水下小目標跟蹤算法[J]. 艦船電子工程, 2018, 38(2):26-30, 34.LI Huizhou, LIU Zhenghong, MAO Dun. Underwater small target tracking algorithm based on diver detection sonar image sequences[J]. Ship electronic engineering, 2018, 38(2):26-30, 34.
      [4] KAY S, SALISBURY J. Improved active sonar detection using autoregressive prewhiteners[J]. The journal of the acoustical society of America, 1990, 87(4):1603-1611.
      [5] TRUCCO A, DI SERIO S, MURINO V. Buried object detection by auto-regressive pre-whitening[C]//Proceedings of MTS/IEEE Riding the Crest into the 21st Century. Seattle, WA, USA, 1999:126-132.
      [6] BESBES H, JEBARA S B. The pre-whitened NLMS:a promising algorithm for acoustic echo cancellation[C]//Proceedings of the 9th International Conference on Electronics, Circuits and Systems. Dubrovnik, Croatia, 2002:875-878.
      [7] BESBES H, JEBARA S B. A variable step size pre-whitened sign algorithm with quantized normalizing factor. Application to acoustic echo cancellation[C]//Proceedings of the 2004 12th European Signal Processing Conference. Vienna, Austria, 2004:709-712.
      [8] SHUI Penglang, LIU Hongwei, BAO Zheng. Range-spread target detection based on cross time-frequency distribution features of two adjacent received signals[J]. IEEE transactions on signal processing, 2009, 57(10):3733-3745.
      [9] XIA Yunlong, PIAO Shengchun, FU Yongqing. Combination of WVD with TRM on detection of LFM signal in inhomogeneous medium[C]//Proceedings of the 2009 4th IEEE Conference on Industrial Electronics and Applications. Xi’an, China, 2009:3864-3867.
      [10] YU Ge, PIAO Shengchun, HAN Xiao. Fractional Fourier transform-based detection and delay time estimation of moving target in strong reverberation environment[J]. IET radar, sonar & navigation, 2017, 11(9):1367-1372.
      [11] WOOLFE F, LIBERTY E, ROKHLIN V, et al. A fast randomized algorithm for the approximation of matrices[J]. Applied and computational harmonic analysis, 2008, 25(3):335-366.
      [12] FAZEL M, CANDES E, RECHT B, et al. Compressed sensing and robust recovery of low rank matrices[C]//Proceedings of the 2008 42nd Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA, 2008:1043-1047.
      [13] ZHOU Tianyi, TAO Dacheng. GoDec:Randomized low-rank & sparse matrix decomposition in noisy case[C]//Proceedings of the 28th International Conference on Machine Learning. Bellevue, WA, USA, 2011.

      相似文獻/References:

      [1]王興梅,印桂生,門志國,等.基于MRF的動態場景中運動目標提取方法研究[J].哈爾濱工程大學學報,2011,(08):1029.[doi:doi:10.3969/j.issn.1006-7043.2011.08.012]
       WANG Xingmei,YIN Guisheng,MEN Zhiguo,et al.Research on the extraction algorithm for a moving target in a dynamic scene based on Markov random fields (MRF)[J].hebgcdxxb,2011,(2):1029.[doi:doi:10.3969/j.issn.1006-7043.2011.08.012]
      [2]肖東,江駒,周俊,等.通信受限下多無人機協同運動目標搜索[J].哈爾濱工程大學學報,2018,39(11):1823.[doi:10.11990/jheu.201705047]
       XIAO Dong,JIANG Ju,ZHOU Jun,et al.Multi-UAV cooperation search for moving targets under limited communication[J].hebgcdxxb,2018,39(2):1823.[doi:10.11990/jheu.201705047]

      備注/Memo

      備注/Memo:
      收稿日期:2019-05-10。
      基金項目:國家重點研發計劃(2018YFC1405900);國家自然科學基金項目(51779061)盛兴娱乐登陆;霍英東教育基金項目(151007);黑龍江省杰出青年科學基金項目(JC2017017);國防科技創新特區項目.
      作者簡介:劉冰,男,博士研究生;殷敬偉,男,教授,博士生導師,"長江學者獎勵計劃"青年學者;朱廣平,男,副教授.
      通訊作者:朱廣平,guangpingzhu@hrbeu.edu.cn.
      更新日期/Last Update: 2020-03-24
      盛兴娱乐登陆