米波雷達低仰角目標多徑模型及其反演方法研究

鄭軼松; 陳伯孝

doi:10.11999/JEIT151013

米波雷達低仰角目標多徑模型及其反演方法研究

doi: 10.11999/JEIT151013

鄭軼松¹,
陳伯孝¹

基金項目:

國家自然科學基金(61573344)

計量
- 文章訪問數(shù): 1394
- HTML全文瀏覽量: 109
- PDF下載量: 395
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-09-09
- 修回日期: 2016-01-22
- 刊出日期: 2016-06-19

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

ZHENG Yisong¹,
CHEN Baixiao¹

Funds:

The National Natural Science Foundation of China (61571344)

摘要

摘要: 現(xiàn)有的低仰角測高方法多采用鏡面反射模型，將直達波與多徑簡化為兩遠場點源；然而實際中不規(guī)則反射面使多徑回波波前畸變，遠場點源模型難以完全描述多徑信號。針對此模型失配問題，該文重點研究低仰角目標多徑模型，首先分析經(jīng)典多徑模型，對反射系數(shù)和反射面高度進行參數(shù)反演；然后提出一種擾動多徑模型，將反射面對多徑回波的影響建模為擾動反射系數(shù)，并利用最大似然算法反演擾動反射系數(shù)。計算機仿真結(jié)果驗證了參數(shù)反演方法的有效性；實測數(shù)據(jù)驗證了復雜情形下所建模型的合理性和反演方法的有效性，提高了低仰角測高算法在實際陣地的適用性。
- 米波雷達 /
- 多徑模型 /
- 低仰角測高 /
- 擾動反射系數(shù)
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

HTML全文

參考文獻(20)

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.

陳伯孝, 胡鐵軍, 鄭自良, 等. 基于波瓣分裂的米波雷達低仰角測高方法及其應用[J]. 電子學報, 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, 萬顯榮, 柯亨玉. 空間色噪聲背景下雙基地多輸入多輸出雷達低仰角估計方法[J]. 電子與信息學報, 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, 黃坦, 熊子源, 等. 基于頻率分集的陣列雷達低角跟蹤算法[J]. 國防科技大學學報, 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.

胡曉琴, 陳建文, 王永良. 米波雷達測高多徑模型研究[J]. 電波科學學報, 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.

王園園, 劉崢, 曹運合. 基于壓縮感知的米波雷達低空測角算法[J]. 系統(tǒng)工程與電子技術(shù), 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.

施引文獻

資源附件(0)

訪問統(tǒng)計