一種Alpha穩(wěn)定分布噪聲下的體積目標長度估計方法

王彬; 侯越圣

doi:10.11999/JEIT190327

一種Alpha穩(wěn)定分布噪聲下的體積目標長度估計方法

doi: 10.11999/JEIT190327

王彬^,,
侯越圣

戰(zhàn)略支援部隊信息工程大學(xué) 鄭州 450001

基金項目: 國家自然科學(xué)基金(61572518)

詳細信息

作者簡介:
王彬：女，1971年生，副教授，研究方向為信號分析與處理

侯越圣：男，1995年生，碩士生，研究方向為信號分析與處理

通訊作者:
王彬　commutech@163.com

中圖分類號: TN911
計量
- 文章訪問數(shù): 1699
- HTML全文瀏覽量: 414
- PDF下載量: 41
- 被引次數(shù): 0
出版歷程
- 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

Estimation of Volume Target Length in Alpha Distribution Noise

Bin WANG^,,
Yuesheng HOU

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

Funds: The National Natural Science Foundation of China (61572518)

摘要

摘要: 為了解決Alpha穩(wěn)定分布噪聲環(huán)境下運動艦船目標的長度估計問題，該文借鑒非線性變換抑制脈沖噪聲以及多普勒目標運動特性估計思想，提出基于廣義時頻分析(G-TFA)和最小二乘估計的運動目標長度估計方法。該方法首先利用G-TFA獲取Alpha穩(wěn)定分布噪聲環(huán)境下運動目標的多普勒頻率，然后利用最小二乘方法估計出目標航速和不同位置的橫正時刻，最后利用上述估計結(jié)果計算目標長度。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)境下具有提取目標多普勒特征的能力，并通過仿真實驗驗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噪聲特征指數(shù)，算法性能優(yōu)于基于傳統(tǒng)時頻分析的估計方法。
- 目標長度估計 /
- 橫正時刻估計 /
- Alpha穩(wěn)定分布噪聲 /
- 廣義時頻分析 /
- 多普勒分析
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.
- Target length estimation /
- Estimating the closest point of approach time /
- Alpha distribution noise /
- Generalized Time-Frequency Analysis (G-TFA) /
- Doppler feature analysis

HTML全文

圖 1 艦船目標與傳感器位置關(guān)系

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圖 2 多普勒頻移曲線和不同橫正時刻估計結(jié)果

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圖 3 G-TFA處理流程圖

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圖 4 目標特征部位橫正時刻和長度估計算法

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圖 5 波形和時頻分析結(jié)果

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圖 6 不同特征指數(shù)下性能對比

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圖 7 不同混合信噪比下性能對比

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圖 8 實驗場景示意圖

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圖 9 接收輻射噪聲時域波形

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圖 10 800 Hz線譜時頻分析結(jié)果

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表 1 實驗條件

被測目標	天和防務(wù)TH-B050R型AUV
采集設(shè)備	Ocean Sonics公司icListen HF智能水聽器
測試地點	信息工程大學(xué)中心校區(qū)人工湖，測試區(qū)域水深1.5 m左右
測試環(huán)境	有雨并伴有4～5級風(fēng)

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表 2 最小二乘參數(shù)估計結(jié)果

	橫正距離(m)	橫正時刻(s)	速度(m/s)
記錄值	1.50	12.58	0.795
估計值	1.56	12.52	0.748

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表 3 橫正距離50 m的識別結(jié)果

目標類型	識別類型
目標類型	大	中	小	錯誤
大	142	10	0	4
中	11	233	3	2
小	0	6	87	3

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