一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

姓名
郵箱
手機號碼
標題
留言內(nèi)容
驗證碼

超短基線定位系統(tǒng)融合分類解模糊技術研究

王燕,  李晴,  付進,  梁國龍

王燕, 李晴, 付進, 梁國龍. 超短基線定位系統(tǒng)融合分類解模糊技術研究[J]. 電子與信息學報, 2017, 39(6): 1348-1354. doi: 10.11999/JEIT160825
引用本文: 王燕, 李晴, 付進, 梁國龍. 超短基線定位系統(tǒng)融合分類解模糊技術研究[J]. 電子與信息學報, 2017, 39(6): 1348-1354. doi: 10.11999/JEIT160825
WANG Yan, LI Qing, FU Jin, LIANG Guolong. Resolving Ambiguity Using Fusion Classification for Ultra-short Baseline Positioning Systems[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1348-1354. doi: 10.11999/JEIT160825
Citation: WANG Yan, LI Qing, FU Jin, LIANG Guolong. Resolving Ambiguity Using Fusion Classification for Ultra-short Baseline Positioning Systems[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1348-1354. doi: 10.11999/JEIT160825

超短基線定位系統(tǒng)融合分類解模糊技術研究

doi: 10.11999/JEIT160825
基金項目: 

國家自然科學基金(51279043, 11504064, 61405041)，黑龍江省博士后科研啟動金(LBH-Q15025)，技術基礎科研項目(JSJL2016604B003)，黑龍江省留學歸國人員科學基金(JJ2016LX 0051)

Resolving Ambiguity Using Fusion Classification for Ultra-short Baseline Positioning Systems

Funds: 

The National Natural Science Foundation of China (51279043, 11504064, 61405041), The Postdoctoral Scientific Research Foundation of Heilongjiang Province (LBH-Q15025), The Technical Basic Research Project (JSJL2016604B003), The Science Foundation for the Returned Overseas Scholars of Heilongjiang Province, China (JJ2016LX0051)

  • 摘要: 針對超短基線水聲定位系統(tǒng)面臨的相位差模糊問題，該文提出一種基于多分類器融合的定位解模糊算法。首先構建多分類器系統(tǒng)，將解模糊問題轉(zhuǎn)化為對模糊數(shù)進行分類識別的問題，并采用Choquet積分對各分類器結果進行融合，得到模糊數(shù)所屬類別，進而對目標進行定位。給出了目標位置的無模糊觀測條件。該算法優(yōu)點是無需構造小于半波長間距的陣列，有效擴大了無模糊陣列孔徑，而且由于充分利用了相位差觀測數(shù)據(jù)的統(tǒng)計特性，定位精度可接近克拉美-羅界。仿真結果驗證了該算法的有效性。
    Abstract: To solve the phase-difference ambiguity problem in Ultra-Short BaseLine (USBL) underwater acoustic positioning systems, an ambiguity resolution and localization method based on Multiple Classifier Fusion (MCF) is proposed. Firstly, the multiple classifier system is built. Then, ambiguity resolution problem is formulated as classifying and recognizing the ambiguity integer, and Choquet integral is utilized for fusing the results of multiple classifiers. Finally, the category of ambiguity integer is obtained and the target is located. The unambiguous observation condition of the target position is derived. Without constructing an inter-sensor spacing less than half the wavelength, unambiguous aperture of the array is effectively enlarged. Moreover, as statistical characteristics of the observation data are fully utilized, the positioning accuracy approaches the Cramer-Rao bound. Simulation results verify the effectiveness of the proposed method.
    • HTML全文
  • BAYAT M, CRASTA N, AGUIAR A P, et al. Range-based underwater vehicle localization in the presence of unknown ocean currents: Theory and experiments[J]. IEEE Transactions on Control Systems Technology, 2016, 24(1): 122-139. doi: 10.1109/TCST.2015.2420636.
    RAMEZANI H, FAZEL F, STOJANOVIC M, et al. Collision tolerant and collision free packet scheduling for underwater acoustic localization[J]. IEEE Transactions on Wireless Communications, 2015, 14 (5): 2584-2595. doi: 10.1109/ TWC.2015.2389220.
    韓云峰, 李昭, 鄭翠娥, 等. 一種基于長基線交匯的超短基線定位系統(tǒng)精度評價方法[J]. 物理學報, 2015, 64(9): 094301. doi: 10.7498/aps.64.094301.
    HAN Yunfeng, LI Zhao, ZHENG Cuie, et al. A precision evaluation method of USBL positioning systems based on LBL triangulation[J]. Acta Physica Sinica, 2015, 64(9): 094301. doi: 10.7498/aps.64.094301.
    喻敏. 長程超短基線定位系統(tǒng)研制[D]. [博士論文], 哈爾濱工程大學, 2006.
    YU Min. Research on long range ultra-short baseline system[D]. [Ph.D. dissertation], Harbin Engineering University, 2006.
    張敏, 郭福成, 周一宇, 等. 時變長基線2維干涉儀測向方法[J]. 電子與信息學報,　2013, 35(12): 2882-2888. doi: 10.3724 /SP.J.1146.2013.00360.
    ZHANG Min, GUO Fucheng, ZHOU Yiyu, et al. Direction finding method for two-dimension interferometer using the time varying long baseline[J]. Journal of Electronics Information Technology, 2013, 35(12): 2882-2888. doi: 10.3724/SP.J.1146.2013.00360.
    LIU Zhangmeng and GUO Fucheng. Azimuth and elevation estimation with rotating long-baseline interferometers[J]. IEEE Transactions on Signal Processing, 2015, 63(9): 2405-2419. doi: 10.1109/TSP.2015.2405506.
    周亞強, 皇甫堪. 噪擾條件下數(shù)字式多基線相位干涉儀解模糊問題[J]. 通信學報, 2005, 26(8): 16-21.
    ZHOU Yaqiang and HUANGFU Kan. Solving ambiguity problem of digitized multi-baseline interferometer under noisy circumstance[J]. Journal on Communications, 2005, 26(8): 16-21.
    龔享銥, 皇甫堪, 袁俊泉. 基于相位干涉儀陣列二次相位差的波達角估計算法研究[J]. 電子學報, 2005, 33(3): 444-446.
    GONG Xiangyi, HUANGFU Kan, and YUAN Junquan. A new algorithm for estimation of direction of arrival based on the second-order difference of phase of interferometer array[J]. Acta Electronica Sinica, 2005, 33(3): 444-446.
    LY P Q C, ELTON S D, GRAY D A, et al. Unambiguous AOA estimation using SODA interferometry for electronic surveillance[C], Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, Hoboken, NJ, USA, 2012: 277-280.
    龔享銥, 袁俊泉, 蘇令華. 基于相位干涉儀陣列多組解模糊的波達角估計算法研究[J]. 電子與信息學報, 2006, 28(1): 55-59.
    GONG Xiangyi, YUAN Junquan, and SU Linghua. A multi-pare unwrap ambiguity of interferometer array for estimation of direction of arrival[J]. Journal of Electronics Information Technology, 2006, 28(1): 55-59.
    狄慧, 劉渝, 楊健, 等. 聯(lián)合到達時間估計的長基線測向相位解模糊算法研究[J]. 電子學報, 2013, 41(3): 496-501. doi: 10.3969/j.issn.0372-2112.2013.03.013.
    DI Hui, LIU Yu, YANG Jian, et al. Long baseline direction finding unwrapping phase ambiguity algorithm with TOA estimation[J]. Acta Electronica Sinica, 2013, 41(3): 496-501. doi: 10.3969/j.issn.0372-2112.2013.03.013.
    魏合文, 王軍, 葉尚福. 一種基于余弦函數(shù)的相位干涉儀陣列DOA估計算法[J]. 電子與信息學報,　2007, 29(11): 2665-2668.
    WEI Hewen, WANG Jun, and YE Shangfu. An algorithm of estimation direction of arrival for phase interferometer array using cosine function[J]. Journal of Electronics Information Technology, 2007, 29(11): 2665-2668.
    王熙照. 模糊測度和模糊積分及在分類技術中的應用[M]. 北京: 科學出版社, 2008: 18-25, 195-199.
    WANG Xizhao. Fuzzy Measure and Fuzzy Integral and the Applications in Classification Technology[M]. Beijing: Science Press, 2008: 18-25, 195-199.
    孔志周. 多分類器系統(tǒng)中信息融合方法研究[D]. [博士論文], 中南大學, 2011.
    KONG Zhizhou. Study of information fusion methods in multiple classifier system[D]. [Ph.D. dissertation], Central South University, 2011.
    SUGENO M. A way to Choquet calculus[J]. IEEE Transactions on Fuzzy Systems, 2015, 23 (5): 1439-1457. doi: 10.1109/TFUZZ.2014.2362148.
    HAVENS T C, ANDERSON D T, and WAGNER C. Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers[J]. IEEE Transactions on Fuzzy Systems, 2015, 23(5): 1861-1875. doi: 10.1109/TFUZZ.2014. 2382133.
    KAY S M. Fundamentals of Statistical Signal Processing: Estimation Theory[M]. New Jersey: Prentice Hall, 1993: 185-186.
    曾勇. 廣義近鄰模式分類研究[D]. [博士論文], 上海交通大學, 2009.
    ZENG Yong. Study on generalized nearest neighbor pattern classification[D]. [Ph.D. dissertation], Shanghai Jiao Tong University, 2009.
  • 加載中
計量
  • 文章訪問數(shù):  1323
  • HTML全文瀏覽量:  150
  • PDF下載量:  303
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2016-08-03
  • 修回日期:  2017-02-08
  • 刊出日期:  2017-06-19

目錄

    /

    返回文章
    返回