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一種Alpha穩(wěn)定分布噪聲下的體積目標(biāo)長(zhǎng)度估計(jì)方法

王彬,  侯越圣

王彬, 侯越圣. 一種Alpha穩(wěn)定分布噪聲下的體積目標(biāo)長(zhǎng)度估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327
引用本文: 王彬, 侯越圣. 一種Alpha穩(wěn)定分布噪聲下的體積目標(biāo)長(zhǎng)度估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327
Bin WANG, Yuesheng HOU. Estimation of Volume Target Length in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327
Citation: Bin WANG, Yuesheng HOU. Estimation of Volume Target Length in Alpha Distribution Noise[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2231-2238. doi: 10.11999/JEIT190327

一種Alpha穩(wěn)定分布噪聲下的體積目標(biāo)長(zhǎng)度估計(jì)方法

doi: 10.11999/JEIT190327 cstr: 32379.14.JEIT190327

  • 戰(zhàn)略支援部隊(duì)信息工程大學(xué) 鄭州 450001

基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61572518)
詳細(xì)信息
    作者簡(jiǎn)介:

    王彬：女，1971年生，副教授，研究方向?yàn)樾盘?hào)分析與處理

    侯越圣：男，1995年生，碩士生，研究方向?yàn)樾盘?hào)分析與處理

    通訊作者:

    王彬　commutech@163.com

  • 中圖分類(lèi)號(hào): TN911

Estimation of Volume Target Length in Alpha Distribution Noise

  • PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China (61572518)
  • 摘要: 為了解決Alpha穩(wěn)定分布噪聲環(huán)境下運(yùn)動(dòng)艦船目標(biāo)的長(zhǎng)度估計(jì)問(wèn)題，該文借鑒非線性變換抑制脈沖噪聲以及多普勒目標(biāo)運(yùn)動(dòng)特性估計(jì)思想，提出基于廣義時(shí)頻分析(G-TFA)和最小二乘估計(jì)的運(yùn)動(dòng)目標(biāo)長(zhǎng)度估計(jì)方法。該方法首先利用G-TFA獲取Alpha穩(wěn)定分布噪聲環(huán)境下運(yùn)動(dòng)目標(biāo)的多普勒頻率，然后利用最小二乘方法估計(jì)出目標(biāo)航速和不同位置的橫正時(shí)刻，最后利用上述估計(jì)結(jié)果計(jì)算目標(biāo)長(zhǎng)度。以廣義Winger-Ville分布(G-WVD)為例，從理論上推導(dǎo)了G-TFA在Alpha穩(wěn)定分布噪聲環(huán)境下具有提取目標(biāo)多普勒特征的能力，并通過(guò)仿真實(shí)驗(yàn)驗(yàn)證了該算法在中低混合信噪比下的穩(wěn)健性。與現(xiàn)有算法相比，該文所提算法不需要估計(jì)噪聲特征指數(shù)，算法性能優(yōu)于基于傳統(tǒng)時(shí)頻分析的估計(jì)方法。
    Abstract: In order to estimate the length of moving ship targets in Alpha stable distribution noise, a moving target length estimation method based on Generalized Time-Frequency Analysis (G-TFA) and least squares estimation is proposed, which utilizes nonlinear transform to suppress impulsive noise and Doppler effect to estimate target motion characteristics. The method uses G-TFA to obtain the Doppler frequency of moving targets in a stable distributed noise environment. Then, the least squares method is used to estimate the target speed and the closest point of approach time of different positions. Finally, the target length is calculated using the above estimation results. Taking Generalized Winger-Ville Distribution (G-WVD) as an example, the ability of G-TFA to extract Doppler features in Alpha stable distributed noise is theoretically derived. The robustness of the proposed method under low-to-medium mixed signal-to-noise ratio is verified by simulation experiments. Compared with the existing methods, the proposed method does not need to estimate the noise characteristic index, and the performance is better than the methods based on the traditional time-frequency analysis.
    • HTML全文

  • 圖  1  艦船目標(biāo)與傳感器位置關(guān)系

    圖  2  多普勒頻移曲線和不同橫正時(shí)刻估計(jì)結(jié)果

    圖  3  G-TFA處理流程圖

    圖  4  目標(biāo)特征部位橫正時(shí)刻和長(zhǎng)度估計(jì)算法

    圖  5  波形和時(shí)頻分析結(jié)果

    圖  6  不同特征指數(shù)下性能對(duì)比

    圖  7  不同混合信噪比下性能對(duì)比

    圖  8  實(shí)驗(yàn)場(chǎng)景示意圖

    圖  9  接收輻射噪聲時(shí)域波形

    圖  10  800 Hz線譜時(shí)頻分析結(jié)果

    表  1  實(shí)驗(yàn)條件

    被測(cè)目標(biāo)天和防務(wù)TH-B050R型AUV
    采集設(shè)備Ocean Sonics公司icListen HF智能水聽(tīng)器
    測(cè)試地點(diǎn)信息工程大學(xué)中心校區(qū)人工湖，測(cè)試區(qū)域水深1.5 m左右
    測(cè)試環(huán)境有雨并伴有4～5級(jí)風(fēng)
    下載: 導(dǎo)出CSV

    表  2  最小二乘參數(shù)估計(jì)結(jié)果

    橫正距離(m)橫正時(shí)刻(s)速度(m/s)
    記錄值1.5012.580.795
    估計(jì)值1.5612.520.748
    下載: 導(dǎo)出CSV

    表  3  橫正距離50 m的識(shí)別結(jié)果

    目標(biāo)類(lèi)型識(shí)別類(lèi)型
    大中小錯(cuò)誤
    大1421004
    中1123332
    小06873
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2019-05-07
  • 修回日期:  2019-12-16
  • 網(wǎng)絡(luò)出版日期:  2020-07-16
  • 刊出日期:  2020-09-27

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