非均勻矩形陣列下雙基地MIMO雷達(dá)目標(biāo)定位方法

鄭志東; 袁紅剛

doi:10.11999/JEIT171036

非均勻矩形陣列下雙基地MIMO雷達(dá)目標(biāo)定位方法

doi: 10.11999/JEIT171036

鄭志東,
袁紅剛^,

北方電子設(shè)備研究所 ??北京 ??100191

詳細(xì)信息

作者簡介:
鄭志東：男，1985年生，博士，工程師，研究方向為MIMO雷達(dá)技術(shù)、雷達(dá)信號處理、二次雷達(dá)信號處理、陣列信號處理

袁紅剛：女，1972年生，碩士，高級工程師，研究方向為二次雷達(dá)系統(tǒng)總體設(shè)計、雷達(dá)信號處理

通訊作者:
袁紅剛 ? focusdong@aliyun.com

中圖分類號: TN958
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-11-02
- 修回日期: 2018-05-08
- 網(wǎng)絡(luò)出版日期: 2018-06-07
- 刊出日期: 2018-08-01

Multi-target Localization Method for Bistatic MIMO Radar Using Nonuniform Rectangular Array

Zhidong ZHENG,
Honggang YUAN^,

Institute of North Electronic Equipment, Beijing 100191, China

摘要

摘要: 該文針對雙基地MIMO雷達(dá)發(fā)射端、接收端皆為非均勻矩形陣列配置情況，將MIMO技術(shù)和最小冗余陣列相結(jié)合，提出基于雙重孔徑自由度擴(kuò)展的目標(biāo)發(fā)射俯仰角、發(fā)射方位角、接收俯仰角、接收方位角4參數(shù)聯(lián)合估計新算法。首先利用矩陣Khatri-Rao積的運算特性，構(gòu)造出2個置換矩陣，對接收信號進(jìn)行矢量行變換，再通過數(shù)據(jù)的“去冗余”、“多維平滑”和“折疊”運算，使得新數(shù)據(jù)具備MIMO雷達(dá)自身和最小冗余陣列雙重自由度擴(kuò)展的特點。理論和仿真結(jié)果表明：該文算法能夠有效估計出目標(biāo)的4個參數(shù)值，且能夠?qū)崿F(xiàn)自動配對；在相同仿真條件下，該文算法的估計精度優(yōu)于交替最小二乘和多維ESPRIT算法，并且提高了最大可估計的目標(biāo)數(shù)目。
- 雙基地MIMO雷達(dá) /
- 矩形陣列 /
- 最小冗余陣列 /
- 差分同置 /
- 角度估計
Abstract: A new algorithm is proposed to estimate jointly the four parameters (EDOD, ADOD, EDOA, ADOA) of targets based on the double-extension of aperture degree of freedom by combining MIMO technique with Minimum redundancy array under the conditions of non-uniform rectangular array configurations both on transmitter and receiver. Firstly, the two permutation matrices are constructed by utilizing the operational properties of the Khatri-Rao product of multiple matrices. Then the new data which possesses the characteristics of the double-extension of degree of freedom is attained by performing the twice row permutating, the redundant items deleting, multi-dimensional smoothing and data folding operations on the received data. The results illustrate that: the proposed method can estimate the four parameters of targets efficiently, and the estimated parameters are paired automatically without extra pairing operation. The parameter estimation performance of the proposed method is better than those of the ALS and multi-dimension ESPRIT methods under the same simulation conditions. And the proposed method can provide much stronger parameter identifiability than the conventional ones.
- Bistatic MIMO radar /
- Rectangular array /
- Minimum redundancy array /
- Difference co-array /
- Angle estimation

HTML全文

圖 1 非均勻矩形配置下的雙基地MIMO雷達(dá)

下載: 全尺寸圖片幻燈片

圖 2 本文算法下目標(biāo)的定位結(jié)果

下載: 全尺寸圖片幻燈片

圖 3 3種不同算法下目標(biāo)4個參數(shù)RMSE隨SNR的變化曲線

下載: 全尺寸圖片幻燈片

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