基于Ransac算法的捷變頻聯(lián)合正交頻分復用雷達高速多目標參數(shù)估計

全英匯; 高霞; 沙明輝; 方文; 李亞超; 邢孟道

doi:10.11999/JEIT200529

基于Ransac算法的捷變頻聯(lián)合正交頻分復用雷達高速多目標參數(shù)估計

doi: 10.11999/JEIT200529

1.
西安電子科技大學電子工程學院西安 710071
2.
北京無線電測量研究所北京 100854
3.
西安電子科技大學雷達信號處理國家重點實驗室西安 710071

基金項目: 國家自然科學基金(61303035, 61772397)，中央高?；究蒲袠I(yè)務費專項資金，西安電子科技大學研究生創(chuàng)新基金

詳細信息

作者簡介:
全英匯：男，1981年生，博士，教授，研究方向為雷達信號處理、主動波形對抗

高霞：女，1996年生，碩士生，研究方向為雷達信號處理

沙明輝：男，1986年生，博士生，研究方向為雷達抗干擾和信號處理

方文：男，1996年生，碩士生，研究方向為雷達信號處理

李亞超：男，1981年生，博士，教授，研究方向為雷達成像和實時信號處理

邢孟道：男，1975年生，博士，教授，研究方向為SAR/ISAR成像、動目標檢測等

通訊作者:
高霞　2636897970@qq.com

中圖分類號: TN957.51
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出版歷程
- 收稿日期: 2020-06-29
- 修回日期: 2020-12-06
- 網絡出版日期: 2020-12-15
- 刊出日期: 2021-07-10

High Speed Multi-target Parameter Estimation for FA-OFDM Radar Based on Ransac Algorithm

1.
School of Electronic Engineering, Xidian University, Xi’an 710071, China
2.
Beijing Institute of Radio Measurement, Beijing 100854, China
3.
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61303035, 61772397), The Foundation Research Funds for Central University, The Innovation Fund of Xidian University

摘要

摘要: 在現(xiàn)代雷達電子戰(zhàn)場中，目標檢測與其參數(shù)估計有著非常重要的意義。因此，該文提出了一種基于隨機抽樣一致算法(Ransac)的捷變頻聯(lián)合正交頻分復用(FA-OFDM)雷達高速多目標參數(shù)估計的方法。首先，在傳統(tǒng)捷變頻雷達的每個脈沖內同時發(fā)射多個頻率隨機跳變的窄帶OFDM子載波。將單個脈沖內所有子載波的回波信號進行脈沖壓縮后，采用迭代自適應譜估計(IAA)算法合成目標的高分辨距離。然后，分別對各個脈沖的回波進行脈沖壓縮和迭代自適應譜估計，得到不同脈沖時刻的高分辨距離，構成觀測數(shù)據集。再根據Ransac算法估計信號參數(shù)模型的步驟，擬合多條時間-距離直線，進而對高速運動的多個目標同時進行參數(shù)估計。最后，分別分析了信噪比(SNR)對檢測概率以及目標自身速度對其相對估計誤差的影響。仿真實驗驗證了所提算法的有效性。
- 參數(shù)估計 /
- 高速多目標 /
- 捷變頻聯(lián)合正交頻分復用雷達 /
- 迭代自適應譜估計算法 /
- 隨機抽樣一致算法
Abstract: In modern radar electronic battlefield, target detection and parameter estimation have great significance. Therefore, a high-speed multi-target parameter estimation method for Frequency Agile-Orthogonal Frequency Division Multiplexing (FA-OFDM) radar based on Random sampling consensus (Ransac) algorithm is proposed in this paper. Firstly, multiple narrowband OFDM subcarriers with random frequency hopping are simultaneously transmitted in each pulse of conventional frequency agile radar. The echo signals of all subcarriers in a single pulse are compressed, and then the high-resolution range of the target is synthesized by Iterative Adaptive Approach (IAA) algorithm. Furthermore, the echoes of each pulse are compressed and iterative adaptive spectrum estimated, and the high-resolution distance of different pulse time is obtained to form the observation data set. Then, according to the steps of the Ransac algorithm to estimate the signal parameter model, multiple time-distance lines are fitted, and then parameters of multiple high-speed moving targets are estimated at the same time. Finally, the influence of the Signal-to-Noise Ratio (SNR) on detection probability and the target velocity on relative error of estimation are analyzed, respectively. Simulations are provided to verify the effectiveness of the proposal.

HTML全文

圖 1 FA-OFDM雷達發(fā)射信號示意圖

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圖 2 3個相鄰目標仿真結果圖

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圖 3 基于Ransac算法的高速多目標參數(shù)估計方法的流程圖

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圖 4 信噪比為–12 dB時的仿真結果

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圖 5 信噪比為–28 dB時的仿真結果

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圖 6 信噪比對檢測概率的影響

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圖 7 目標速度對估計誤差的影響

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圖 8 輸出SNR對RMSE的影響

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表 1 仿真參數(shù)

參數(shù)	數(shù)值	參數(shù)	數(shù)值
脈沖寬度	4 μs	脈沖重復頻率	25 kHz
信號帶寬	24 MHz	采樣頻率	48 MHz
子載波個數(shù)	64	中心載頻	14 GHz
跳頻總數(shù)	128	跳頻帶寬	20 MHz
脈沖總數(shù)	64	輸入信噪比	–12 dB / –28 dB
目標距離	[3994, 4001, 4006] m	目標速度	[600, 1220, 5800] m/s

下載: 導出CSV

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