一種低副瓣無混疊的線性調(diào)頻信號時頻分析方法

劉會杰; 高新海; 郭汝江

doi:10.11999/JEIT181190

一種低副瓣無混疊的線性調(diào)頻信號時頻分析方法

doi: 10.11999/JEIT181190

劉會杰¹,
高新海^{1, 2, 3, ,},
郭汝江¹

1.
中國科學(xué)院微小衛(wèi)星創(chuàng)新研究院上海 201203
2.
中國科學(xué)院上海微系統(tǒng)與信息技術(shù)研究所上海 200050
3.
中國科學(xué)院大學(xué) 北京 100049

基金項目: 國家自然科學(xué)基金(91738201)，上海市青年科技英才揚帆計劃(17YF1418200)

詳細(xì)信息

作者簡介:
劉會杰：男，1972年生，博士，研究員，博士生導(dǎo)師，研究方向為衛(wèi)星移動通信系統(tǒng)理論與通信系統(tǒng)設(shè)計

高新海：男，1995年生，碩士生，研究方向為復(fù)雜電磁環(huán)境下的時頻分析

郭汝江：男，1977年生，博士，研究員，研究方向為新體制雷達(dá)、保密通信、無源定位

通訊作者:
高新?！?a href="mailto:gxh777@mail.ustc.edu.cn">gxh777@mail.ustc.edu.cn

中圖分類號: TN911
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-12-28
- 修回日期: 2019-05-27
- 網(wǎng)絡(luò)出版日期: 2019-08-23
- 刊出日期: 2019-11-01

A Time-frequency Analysis Method for Linear Frequency Modulation Signal with Low Sidelobe and Nonaliasing Property

Huijie LIU¹,
Xinhai GAO^{1, 2, 3
, ,},
Rujiang GUO¹

1.
Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai 201203, China
2.
Shanghai Institute of Microsystem and Information Technology, Shanghai 200050, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The National Natural Science Foundation of China (91738201), Shanghai Sailing Program (17YF1418200)

摘要

摘要: 作為通信與勘探中廣泛使用的一類信號，線性調(diào)頻信號的參數(shù)分析經(jīng)常采用基于Wigner-Ville分布(WVD)的時頻分析方法。該方法具有高時頻分辨率，但在交叉項、高副瓣以及頻譜混疊問題上存在缺陷。該文提出一種名為空間變跡重排Wigner-Ville分布(SVA-rWVD)的時頻分析方法，結(jié)合空間變跡技術(shù)(SVA)的副瓣抑制能力及短時傅里葉變換(STFT)的無混疊無交叉項特性，得到一個新的時頻分布?；趩畏至亢投喾至烤€性調(diào)頻信號的仿真實驗結(jié)果表明，該方法得到的時頻分布可以降低副瓣水平至–40 dB以下同時消除交叉項及頻譜混疊現(xiàn)象。
- 時頻分析 /
- 線性調(diào)頻信號 /
- Wigner-Ville分布 /
- 空間變跡 /
- 短時傅里葉變換
Abstract: Chirp signals are widely used in communication and exploration. The parameter analysis of the chirp signals often uses a Wigner-Ville Distribution (WVD) based time-frequency analysis method, which achieves high time-frequency resolution. However, this method has defects in cross terms, high sidelobes, and spectral aliasing problems. To solve these problems, a time-frequency analysis method called Spatially Variant Apodiztion-rearrange Wigner Ville Distribution (SVA-rWVD) is proposed, which achieves low sidelobes by exploiting the Spatially Variant Apodization (SVA) techniques, and avoids the cross terms and the spectral aliasing problems by applying the Short Time Fourier Transform (STFT). Furthermore, a new time-frequency distribution is obtained from the proposed method. Extensive simulations show that the time-frequency distribution obtained by the proposed method not only reduces the sidelobe level to –40 dB but also eliminates cross terms and spectral aliasing for both single-component and multi-component chirp signals.
- Time-frequency analysis /
- Linear Frequency Modulation (LFM) /
- Wigner-Ville Distribution (WVD) /
- Spatially Variant Apodization (SVA) /
- Short Time Fourier Transform (STFT)

HTML全文

圖 1 單分量LFM信號的時頻分析結(jié)果對比

下載: 全尺寸圖片幻燈片

圖 2 時間切片比較結(jié)果(取對數(shù)進(jìn)行分析)

下載: 全尺寸圖片幻燈片

圖 3 SVA-rWVD方法消除混疊現(xiàn)象的原理

下載: 全尺寸圖片幻燈片

圖 4 多分量LFM信號的時頻分析結(jié)果對比

下載: 全尺寸圖片幻燈片

圖 5 時間切片比較結(jié)果(取對數(shù)進(jìn)行分析)

下載: 全尺寸圖片幻燈片

圖 6 多分量LFM信號的時頻分析結(jié)果對比

下載: 全尺寸圖片幻燈片

圖 7 時間切片比較結(jié)果(取對數(shù)進(jìn)行分析)

下載: 全尺寸圖片幻燈片

圖 8 不同信噪比下瞬時頻率估計的均方根誤差

下載: 全尺寸圖片幻燈片

表 1 仿真參數(shù)設(shè)置

參數(shù)名稱	單分量LFM(圖1)	多分量LFM(圖4)	多分量LFM(圖6)
脈沖寬度(μs)	1024	1024	1204
帶寬(MHz)	1	1	1
采樣率(MHz)	1	1	1
時間切片(μs)	400	500	300
頻率范圍(kHz)	–500～500	3個分量均為–500～500，且時間間隔相同	–300～–100 0～300 –500～500

下載: 導(dǎo)出CSV

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