基于ESPRIT算法的十字型陣列MIMO雷達(dá)降維DOA估計(jì)
doi: 10.11999/JEIT150402
基金項(xiàng)目:
國家自然科學(xué)基金(60702015), 電子工程學(xué)院院控科研基金(KY13A206)
Reduced-dimensional DOA Estimation Based on ESPRIT Algorithmin Monostatic MIMO Radar with Cross Array
Funds:
The National Natural Science Foundation of China (60702015), Research Fund of Electronic Engineering Institute (KY13A206)
-
摘要: 該文針對十字型陣列配置下的單基地MIMO雷達(dá)2維空間角度估計(jì)問題，提出一種基于ESPRIT算法的降維DOA估計(jì)算法。算法通過降維矩陣的設(shè)計(jì)及回波數(shù)據(jù)的降維變換，將高維回波數(shù)據(jù)轉(zhuǎn)換至低維信號空間，最大程度地去除了所有的冗余數(shù)據(jù)；利用矩陣的酉變換進(jìn)行實(shí)數(shù)域信號子空間的估計(jì)，并基于ESPRIT算法實(shí)現(xiàn)2維空間角度的聯(lián)合估計(jì)及參數(shù)的自動(dòng)配對。算法不犧牲陣列孔徑，在獲取信噪比增益和快拍增益的同時(shí)，有效降低了回波數(shù)據(jù)的維數(shù)，具有更低的運(yùn)算復(fù)雜度。仿真結(jié)果驗(yàn)證了理論分析的正確性和算法的有效性。
-
關(guān)鍵詞:
- MIMO雷達(dá) /
- 十字型陣列 /
- 降維ESPRIT /
- 酉變換
Abstract: To solve the problem of two dimensional angles estimation for MIMO radar with cross array, a new reduced-dimensional Direction Of Arrival (DOA) estimation method based on ESPRIT algorithm is proposed. Through the reduced-dimensional matrix design and reduced-dimensional transformation, the high dimensional received data can be transformed into a low dimensional signal space, and the corresponding data redundancy can be removed at the greatest degree. The signal space in a real-value field can be estimated through the unitary transformation of matrix, and parameters can be jointly estimated using ESPRIT algorithm with automatic pairing. The proposed algorithm, obtaining signal to noise ratio gain and snapshots gain, can reduce effectively the dimension of received data and the computational complexity of parameters estimation without costing the aperture of array. Lastly, simulation results verify the correctness of theoretical analysis and the effectiveness of the proposed algorithm.-
Key words:
- MIMO radar /
- Cross array /
- Reduced-dimensional ESPRIT /
- Unitary transformation
-
HULEIHEL W, TABRIKIAN J, and SHAVIT R. Optimal adaptive waveform design for cognitive MIMO radar[J]. IEEE Transactions on Signal Processing, 2013, 61(20): 5075-5089. WANG P, LI H B, and HIMED B. A parametric moving target detector for distributed MIMO radar in non- homogeneous environment[J]. IEEE Transactions on Signal Processing, 2013, 61(9): 2282-2294. TANG B, TANG J, ZHANG Y, et al. Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar[J]. Signal Processing, 2013, 93(5): 1349-1357. ZHANG X, HUANG Y, CHEN C, et al. Reduced-complexity Capon for direction of arrival estimation in a monostatic multiple-input multiple-output radar[J]. IET Radar, Sonar Navigation, 2012, 6(8): 796-801. ZHANG X and XU D. Low-complexity ESPRIT-based DOA estimation for colocated MIMO radar using reduced- dimension transformation[J]. Eletronics Letters, 2011, 47(4): 283-284. 文才, 王彤. 單基地MIMO雷達(dá)降維酉ESPRIT算法[J]. 系統(tǒng)工程與電子技術(shù), 2014, 36(6): 1062-1067. WEN C and WANG T. Reduced-dimensional unitary ESPRIT algorithm for monostatic MIMO radar[J]. Systems Engineering and Electronics, 2014, 36(6): 1062-1067. ARASH K, ABOULNASR H, SERGIY A V, et al. Efficient transmit beamspace design for search-free based DOA estimation in MIMO radar[J]. IEEE Transactions on Signal Processing, 2014, 62(6): 1490-1500. HASSANIEN A and VOROBYOV S A. Transmit energy focusing for DOA estimation in MIMO radar with colocated antennas[J]. IEEE Transactions on Signal Processing, 2011, 59(6): 2669-2682. CHEN H W, LI X, JIANG W D, et al. MIMO radar sensitivity analysis of antenna position for direction finding[J]. IEEE Transactions on Signal Processing, 2012, 60(10): 5201-5216. CHEN H W, ZHOU W, YANG J, et al. Manifold sensitivity analysis for MIMO radar[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(5): 999-1003. CHEN H W, YANG J, ZHOU W, et al. Manifold studies on fundamental limits of direction finding multiple-input multiple-output radar systems[J]. IET Radar, Sonar Navigation, 2012, 6(8), 708-718. 王偉, 王曉萌, 李欣, 等. 基于MUSIC算法的L型陣列MIMO雷達(dá)降維DOA估計(jì)[J]. 電子與信息學(xué)報(bào), 2014, 36(8): 1954-1959. doi: 10.3724/SP.J.1146.2013.01281. WANG Wei, WANG Xiaomeng, LI Xin, et al. Reduced- dimensional DOA estimation based on MUSIC algorithm in MIMO radar with L-shaped array[J]. Journal of Electronics Information Technology, 2014, 36(8):1954-1959. doi: 10.3724/ SP.J.1146.2013.01281. 蔡晶晶, 鮑丹, 李鵬, 等. 強(qiáng)約束優(yōu)化降維MUSIC 2維DOA估計(jì)[J]. 電子與信息學(xué)報(bào), 2014, 36(5): 1113-1118. doi: 10.3724/SP.J.1146.2013.01127. CAI Jingjing, BAO Dan, LI Peng, et al. Two-dimensional DOA estimation using reduced-dimensional MUSIC algorithm with strong-constraint optimization[J]. Journal of Electronics Information Technology, 2014, 36(5): 1113-1118. doi: 10.3724/SP.J.1146.2013.01127. LI J F and ZHANG X F. Unitary reduced-dimensional estimation of signal parameters via rotational invariance techniques for angle estimation in monostatic multiple- input-multiple-output radar with rectangular arrays [J]. IET Radar, Sonar Navigation, 2014, 8(6): 575-584. ZHENG G M, CHEN B X, and YANG M L. Unitary ESPRIT algorithm for bistatic MIMO radar[J]. Electronics Letters, 2012, 48(3): 179-181. CHEN D F, CHEN B X, and GUO D Q. Angle estimation using ESPRIT in MIMO radar[J]. Electronics Letters, 2008, 44(12): 770-771. CHEN J L, GU H, and SU W M. Angle estimation using ESPRIT without pairing in MIMO radar[J]. Electronics Letters, 2008, 44(24): 1422-1423. REN S, MA X, YAN S, et al. 2-D unitary ESPRIT-like Direction-Of-Arrival (DOA) estimation for coherent signals with a uniform rectangular array[J]. Sensors, 2013, 13(4): 4272-4288. -
計(jì)量
- 文章訪問數(shù): 1572
- HTML全文瀏覽量: 220
- PDF下載量: 480
- 被引次數(shù): 0
下載:
