Multipath Model and Inversion Method for Low-angle Target in Very High Frequency Radar

ZHENG Yisong; CHEN Baixiao

doi:10.11999/JEIT151013

Volume 38 Issue 6

Jun. 2016

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(6): 1468-1474

ZHENG Yisong, CHEN Baixiao. Multipath Model and Inversion Method for Low-angle Target in Very High Frequency Radar[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1468-1474. doi: 10.11999/JEIT151013

Citation:

ZHENG Yisong, CHEN Baixiao. Multipath Model and Inversion Method for Low-angle Target in Very High Frequency Radar[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1468-1474. doi: 10.11999/JEIT151013

Citation:

PDF( 1352 KB)

Multipath Model and Inversion Method for Low-angle Target in Very High Frequency Radar

doi: 10.11999/JEIT151013

ZHENG Yisong¹,
CHEN Baixiao¹

Funds:

The National Natural Science Foundation of China (61571344)

Received Date: 2015-09-09
Rev Recd Date: 2016-01-22
Publish Date: 2016-06-19

Abstract

Abstract

The existing methods of altitude measurement for low-angle targets adopt the specular reflection surface model, and the direct and multipath signals are considered as two correlated far-field point sources. However, in reality, the wavefront of multipath signal is distorted by irregular reflection surface, and the far-field point source model is not enough to describe the multipath signal. To deal with this model mismatch problem, the low-angle multipath model is mainly studied. This paper begins with a discussion of classical multipath model and is followed by the inversion method of reflection coefficient and the height of reflection surface. Then the perturbation of the multipath signal caused by irregular reflection surface is modeled as perturbational reflection coefficient and a perturbational multipath model is developed with a maximum likelihood method to invert the proposed parameter. Simulation data processing results validate the effectiveness of the inversion method. The effectiveness of the proposed model and inversion method are validated by measured data processing results. These research results can provide valuable information for enhancing the applicability of the low-angle altitude measurement method in practical situations.
- High frequency radar,
- Multipath model,
- Altitude measurement of low-angle target,
- Perturbational reflection coefficient

FullText(HTML)

References(20)

References

BARTON D K. Low-angle radar tracking[J]. Proceedings of the IEEE, 1974, 62(6): 587-704. doi: 10.1109/PROC.1974. 9509.

LO T and LITVA J. Use of a highly deterministic multipath signal model in low-angle tracking[J]. IEE Proceedings F, Radar and Signal Processing, 1991, 138(2): 163-171. doi: 10.1049/ip-f-2.1991.0022.

陈伯孝, 胡铁军, 郑自良, 等. 基于波瓣分裂的米波雷达低仰角测高方法及其应用[J]. 电子学报, 2007, 35(6): 1021-1025. doi: 10.3321/j.issn:0372-2112.2007.06.003.

CHEN Baixiao, HU Tiejun, ZHENG Ziliang, et al. Method of altitude measurement based on beam splitin VHF radar and its application[J]. Acta Electronica Sinica, 2007, 35(6): 1021-1025. doi: 10.3321/j.issn:0372-2112.2007.06.003.

洪升, 万显荣, 柯亨玉. 空间色噪声背景下双基地多输入多输出雷达低仰角估计方法[J]. 电子与信息学报, 2015, 37(1): 15-21. doi: 10.11999/JEIT140290.

HONG Sheng, WAN Xianrong, and KE Hengyu. Low- elevation estimation for bistatic MIMO radar in spatially colored noise[J]. Journal of Electronics Information Technology, 2015, 37(1): 15-21. doi: 10.11999/JEIT140290.

徐振海, 黄坦, 熊子源, 等. 基于频率分集的阵列雷达低角跟踪算法[J]. 国防科技大学学报, 2014(2): 93-98. doi: 10.11887 /j.cn.201402016.

XU Zhenhai, HUANG Tan, XIONG Ziyuan, et al. Low angle tracking algorithm using frequency diversity for array radar[J]. Journal of National University of Defense Technology, 2014(2): 93-98. doi: 10.11887/j.cn.201402016.

PARK D, YANG E, AHN S, et al. Adaptive beamforming for low-angle target tracking under multipath interference[J]. IEEE Transactions on Aerospace and Electronic System, 2014, 50(4): 2564-2577. doi: 10.1109/TAES.2014.130185.

胡晓琴, 陈建文, 王永良. 米波雷达测高多径模型研究[J]. 电波科学学报, 2008, 23(4): 651-657. doi: 10.3969/j.issn. 1005-0388.2008.04.011.

HU Xiaoqin, CHEN Jianwen, and WANG Yongliang. Research on meter-wave radar height-finding multipath model[J]. Chinese Journal of Radio Science, 2008, 23(4): 651-657. doi: 10.3969/j.issn.1005-0388.2008.04.011.

ZHU Wei and CHEN Baixiao. Novel methods of DOA estimation based on compressed sensing[J]. Multidimensional Systems and Signal Processing, 2013, 26(1): 113-123. doi: 10.1007/s11045-013-0239-2.

王园园, 刘峥, 曹运合. 基于压缩感知的米波雷达低空测角算法[J]. 系统工程与电子技术, 2014(4): 667-671. doi: 10.3969/j.issn.1001-506X.2014.04.10.

WANG Yuanyuan, LIU Zheng, and CAO Yunhe. Low-angle estimation method based on compressed-sensing for meter-wave radar[J]. Systems Engineering and Electronics, 2014(4): 667-671. doi: 10.3969/j.issn.1001-506X.2014.04.10.

YANG Zai, XIE Lihua, and ZHANG Cishen. A discretization-free sparse and parametric approach for linear array signal processing[J]. IEEE Transactions on Signal Processing, 2014, 62(19): 4959-4973. doi: 10.1109/TSP. 2014.2339792.

ZHU Wei and CHEN Baixiao. Altitude measurement based on terrain matching in VHF array radar[J]. Circuits, Systems, and Signal Processing, 2013, 32(2): 647-662. doi: 10.1007 /s00034-012-9472-4.

HAN Yinghua, WANG Jinkuan, ZAHO Qiang, et al. A blind central DOA estimation algorithm in radar low-angle tracking environment[C]. 2009 IET International Radar Conference, Guilin, 2009: 20-22.

BOMAN K and STOICA P. Low angle estimation: models, methods, and bounds[J]. Digital Signal Processing, 2001, 11(1): 35-79. doi: 10.1006/dspr.2000.0373.

STOICA P and NEHORAI A. MUSIC, maximum likelihood, and Cramer-Rao bound[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1989, 37(5): 720-741. doi: 10.1109/29.17564.

SHAN Tiejun, WAX M, and KAILATH T. On spatial smoothing for direction-of-arrival estimation of coherent signals[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1985, 33(4): 806-811. doi: 10.1109/TASSP. 1985.1164649.

Relative Articles

Supplements(0)

Cited By

Proportional views