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High-frequency sky wave detection equipment must rely on the ionosphere as the propagation medium in the early warning and sea state remote sensing tasks. The ionosphere is time-varying and unstable, which will change the characteristics of the high-frequency electromagnetic wave propagating through it, resulting in the broadening of the echo spectrum, thus seriously affecting the detection of targets and the inversion of sea state parameters. The reason and mechanism of the echo spectrum expansion are analyzed in detail from the dispersion effect, phase contamination and multimode propagation. The bandwidth of the dispersion effect is different from that of the high frequency detection equipment. When the bandwidth of the sky wave equipment is 3–30 MHz, the bandwidths of the dispersion effect are 41.6–57.4 kHz and 0.17–10.8 MHz. The multi-quasi-parabolic ionospheric model is used to discuss the frequency selection measures to avoid multimode propagation. The modulation process of ionospheric contamination to echo is studied theoretically. It is shown that the non-linear phase contamination will cause the energy of echo to diffuse in frequency domain and to be unable to accumulate. To solve the problem of phase contamination which is difficult to solve in practice, a contamination correction method without estimating the instantaneous frequency of the echo is proposed. In the method the consistency principle of signal subspace and signal frequency vector expansion space is used, and therefore the phase contamination term can be well estimated. Based on the real data, the contamination correction results from the proposed method, phase gradient autofocus method, maximum entropy spectral analysis method and time-frequency processing method are given. The results show that the new method is a better method and can effectively sharpen the broadened echo spectrum.
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Keywords:
- ionosphere /
- multi-quasi-parabolic model /
- high frequency ray /
- multimode propagation /
- phase contamination correction
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Yao T R, Sun H 1999 Modern Digital Signal Processing (Wuhan: Huazhong University of Technology Press) pp156, 157 (in Chinese)
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Xu Q 2011 Ph. D. Dissertation (Xi’an: Xidian University) (in Chinese)
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图 1 色散系数与探测频率的关系
Figure 1. Relationship between dispersion coefficient and detection frequency.
图 2 不同时刻的电离层电子浓度曲线
Figure 2. Ionospheric electron concentration curves at different times.
图 3 线性和非线性相位污染的回波谱比较
Figure 3. Comparison of echo spectra contaminated by the linear and nonlinear phases.
图 4 多模传播的路径示意图
Figure 4. Path schematic of the multimode propagation.
图 5 射线群距离与探测频率的关系
Figure 5. Relationship between radiation group distance and detection frequency.
图 6 相位污染前后的实测频谱
Figure 6. Real spectrum before and after phase contamination.
图 7 相位污染的估计误差
Figure 7. Estimation error of the phase contamination.
图 8 相位污染校正前后的距离-多普勒谱(颜色条表示归一化功率, 单位是dB)
Figure 8. Range-Doppler spectra before and after phase contamination correction (color bar represents normalized power, and the unit is dB).
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[1] Frazer G J 2017 IEEE Aerosp. Electron. Syst. Mag. 32 52
Google Scholar
[2] 罗欢, 肖卉 2018 物理学报 67 079401
Google Scholar
Luo H, Xiao H 2018 Acta Phys. Sin. 67 079401
Google Scholar
[3] 毛媛, 郭立新, 丁慧芬, 刘伟 2012 物理学报 61 044201
Google Scholar
Mao Y, Guo L X, Ding H F, Liu W 2012 Acta Phys. Sin. 61 044201
Google Scholar
[4] Forbes J M, Palo S E, Zhang X 2000 J. Atmosph. Solar Terr. Phys. 62 685
Google Scholar
[5] 郝书吉, 张文超, 张雅彬, 杨巨涛, 马广林 2017 物理学报 66 119401
Google Scholar
Hao S J, Zhang W C, Zhang Y B, Yang J T, Ma G L 2017 Acta Phys. Sin. 66 119401
Google Scholar
[6] 邢孟道, 保铮 2002 电波科学学报 17 129
Google Scholar
Xing M D, Bao Z 2002 Chin. J. Radio Sci. 17 129
Google Scholar
[7] Anderson S J, Abramovich Y I 1998 Radio Sci. 33 1055
Google Scholar
[8] Lu K, Wang J, Liu X Z 2003 Proceedings of ICASSP Hongkong, China, April 6−10, 2003 p405
[9] Li Y J, Wei Y S, Zhu Y P, Wang Z Q, Xu R Q 2015 IET Signal Process. 9 562
Google Scholar
[10] Luo H, Xiao H 2019 J. Chin. Inst. Eng. 42 200
Google Scholar
[11] 罗欢, 陈建文, 鲍拯 2013 电子与信息学报 35 2829
Luo H, Chen J W, Bao Z 2013 J. Electron. Inform. Technol. 35 2829
[12] Bilitza D, Brown S A, Wang M Y 2012 J. Atmosph. Solar -Terr. Phys. 86 99
Google Scholar
[13] Gordiyenko G I, Yakovets A F 2017 Adv. Space Res. 60 461
Google Scholar
[14] Dyson P L, Bennett J A 1988 J. Atmosph. Solar Terr. Phys. 50 251
Google Scholar
[15] Park I, Yeh K C 1990 Radio Sci. 25 1167
Google Scholar
[16] 周芳 2014 博士学位论文 (西安: 西安电子科技大学)
Zhou F 2014 Ph. D. Dissertation (Xi’an: Xidian University) (in Chinese)
[17] 周文瑜, 焦培南 2008 超视距雷达技术 (北京: 电子工业出版社) 第120—122页
Zhou W Y, Jiao P N 2008 Over-the-Horizon Radar Technology (Beijing: Publishing House of Electronics Industry) pp120−122 (in Chinese)
[18] Skolnik M I 1990 Radar Handbook (New York: McGraw-Hill Book Company) pp18−19
[19] 郭文玲, 蔚娜, 李雪, 李吉宁, 鲁转侠 2014 中国电子科学研究院学报 9 629
Google Scholar
Guo W L, Wei N, Li X, Li J N, Lu Z X 2014 J. CAEIT 9 629
Google Scholar
[20] 李辉, 车海琴, 吴健, 吴军, 徐彬 2011 电波科学学报 26 311
Li H, Che H Q, Wu J, Wu J, Xu B 2011 Chin. J. Radio Sci. 26 311
[21] 柳文, 焦培南, 王世凯, 王俊江 2008 电波科学学报 25 41
Google Scholar
Liu W, Jiao P N, Wang S K, Wang J J 2008 Chin. J. Radio Sci. 25 41
Google Scholar
[22] Li M, He Q, Li K, He Z S 2014 IEICE Electron. Express 11 1
[23] 姚天任, 孙洪 1999 现代数字信号处理(武汉: 华中理工大学出版社) 第156, 157页
Yao T R, Sun H 1999 Modern Digital Signal Processing (Wuhan: Huazhong University of Technology Press) pp156, 157 (in Chinese)
[24] 徐青 2011 博士学位论文 (西安: 西安电子科技大学)
Xu Q 2011 Ph. D. Dissertation (Xi’an: Xidian University) (in Chinese)
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