Angle estimation of bistatic MIMO radar under the time frequency grid error

被引：0
|
作者：
Huang Z.-R. [1 ]
Zhou Q.-S. [1 ]
Zhang J.-Y. [1 ]
机构：
[1] Electronic Engineering Institute, Hefei
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2016年 / 38卷 / 10期
关键词：
Angle estimation; Bistatic multiple-input multiple-output (MIMO) radar; Grid error mismatch matrix; Least squares method; Parallel factor method;
D O I：
10.3969/j.issn.1001-506X.2016.10.07
中图分类号：
学科分类号：
摘要：
The angle estimation for bistatic multiple-input multiple-output (MIMO) radar under the mismatch filter in the presence of time frequency grid error is studied. Firstly, the signal model for bistatic MIMO radar under delay and Doppler frequency grid error is built. Secondly, the grid error mismatch matrix of orthogonal frequency division multiplexing linear frequency modulation signal and phase coded signal are constructed and the effect it pay on the angle estimation are analyzed. Further more, the parallel factor analysis and the least squares method are combined to estimate the transmit angle for the orthogonal frequency division multiplexing linear frequency modulation signal. The effect on the transmit angle estimation caused by the grid error mismatch matrix can be reduced by using the propose method. Finally, simulation results demonstrate that, the impact of the grid error mismatch matrix on the angle estimation in phase coded signal is little, but for the orthogonal frequency division multiplexing linear frequency modulation signal is in reverse, which illustrates the validity of the theory analysis. © 2016, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：2267 / 2274
页数：7
相关论文
共 15 条
  • [1] Guang H., Abeysekera S.S., Receiver design for range and Doppler sidelobe suppression using MIMO and phased-array radar, IEEE Trans. on Signal Processing, 61, 6, pp. 1315-1326, (2013)
  • [2] Zhang X.Y., Liao G.S., Xu J.W., Et al., Waveform design for MIMO radar to improve target detection and parameter estimation, Systems Engineering and Electronics, 36, 8, pp. 1494-1499, (2014)
  • [3] Yang L., Hu W.J., He X.D., Et al., Modified PTS algorithm combining time and space domain signal processing in MIMO-OFDM system, Systems Engineering and Electronics, 36, 12, pp. 2526-2532, (2014)
  • [4] Hassanien A., Vorobyov S.A., Phased-MIMO radar: a tradeoff between phase-array and MIMO radars, IEEE trans. on signal processing, 58, 6, pp. 3137-3151, (2010)
  • [5] Fisher E., Haimovich A., Blum R.S., Et al., Spatial diversity in radar-models and detection performance, IEEE Trans. on Signal Process, 54, 3, pp. 823-838, (2006)
  • [6] Chen J.L., Zhu Y.P., Gu H., Et al., High speed moving target localization method for bistatic MIMO radar, Systems Engineering and Electronics, 35, 5, pp. 962-967, (2013)
  • [7] Yan H., Li J., Liao G., Multitarget identification and localization using bistatic MIMO radar system, EURASIP Journal on Advance in Signal Process, 8, 2, pp. 1-8, (2008)
  • [8] Chen D.F., Chen B.X., Qin G.D., Angle estimation using ESPRIT in MIMO radar, IEE Electronics Letters, 44, 12, pp. 770-771, (2008)
  • [9] Zhang X.F., Xu L.Y., Xu L., Et al., direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC, IEEE Communications Letters, 14, 12, pp. 1161-1163, (2010)
  • [10] Yang M.L., Chen B.X., Yang X.Y., Conjugate ESPRIT algorithm for bistatic MIMO radar, IEEE Electronics Letters, 46, 25, pp. 1692-1694, (2010)
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