Angle estimation in MIMO radar with non-circular signals based on real-valued ESPRIT

被引:0
|
作者
机构
[1] College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics
来源
Zhang, G. (gzhang@nuaa.edu.cn) | 1953年 / Chinese Society of Astronautics卷 / 34期
关键词
Angle estimation; Cramer-Rao bound; ESPRIT; Multiple-input multiple-output radar; Non-circular signal;
D O I
10.7527/S1000-6893.2013.0258
中图分类号
学科分类号
摘要
In this paper, the direction of arrival (DOA) estimation in a monostatic multiple-input multiple-output (MIMO) radar is studied, and a real-valued estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm for the estimation based on non-circular (NC) signals is proposed. Through a reduced-dimensional transformation, the received data is transformed to be low-dimensional, which lead to lower complexity. Thereafter, a center-Hermitian matrix is constructed based on the characteristics of the NC real-valued signals. Then a unitary matrix is used to transform the complex computations into real-valued ones, thus further reducing the complexity. Finally, ESPRIT is employed to estimate the angles. The proposed algorithm requires no peak searching, and has lower complexity but better angle estimation performance than the NC ESPRIT and Unitary ESPRIT. The complexity of the algorithm is analyzed, and the Cramer-Rao bound (CRB) for the angle estimation in MIMO radar is derived. In the simulation, these algorithms are compared, which verifies the effectiveness of our algorithm.
引用
收藏
页码:1953 / 1959
页数:6
相关论文
共 20 条
  • [1] Fishler E., Haimovich A., Blum R.S., Et al., MIMO radar: An idea whose time has come, Proceedings of IEEE Radar Conference, pp. 71-78, (2004)
  • [2] Li J., Stoica P., MIMO radar-diversity means superiority, Proceedings of 14th Adaptive Sensor Array Processing Workshop (ASAP'06), pp. 1-6, (2006)
  • [3] Li X.R., Zhang Z., Mao W.X., Et al., A study of frequency diversity MIMO radar beamforming, IEEE 10th International Conference (ICSP2010), pp. 352-356, (2010)
  • [4] Sharma R., Analysis of MIMO radar ambiguity functions and implications on clear region, IEEE Radar Conference, pp. 544-548, (2010)
  • [5] Li J., Liao G., Griffiths H., Bistatic MIMO radar space-time adaptive processing, IEEE International Radar Conference, pp. 498-502, (2011)
  • [6] Wu X.H., Kishk A.A., Glisson A.W., MIMO-OFDM radar for direction estimation, IET Radar, Sonar & Navigation, 4, 1, pp. 28-36, (2010)
  • [7] Li J., Stoica P., Xu L., Et al., On parameter identifiability of MIMO radar, IEEE Signal Processing Letters, 14, 12, pp. 968-971, (2007)
  • [8] Li J., Liao G., Ma K., Et al., Waveform decorrelation for multitarget localization in bistatic MIMO radar systems, IEEE International Radar Conference, pp. 21-24, (2010)
  • [9] Chen J.L., Gu H., Su W.M., Angle estimation using ESPRIT without pairing in MIMO radar, Electronic Letters, 44, 24, pp. 1422-1423, (2008)
  • [10] Zheng G., Chen B., Yang M., Unitary ESPRIT algorithm for bistatic MIMO radar, Electronic Letters, 48, 3, pp. 179-181, (2012)