Antenna geometry strategy with prior information for direction-finding MIMO radars 被引量：1

Antenna geometry strategy with prior information for direction-finding MIMO radars

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摘要 The antenna geometry strategy for direction finding （DF） with multiple-input multiple-output （MIMO） radars is studied. One case, usually encountered is practical applications, is consi- dered. For a directional antenna geometry with a prior direction, the trace-optimal （TO） criterion （minimizing the trace） on the av- erage Cramer-Rao bound （CRB） matrix is employed. A qualitative explanation for antenna geometry is provided, which is a combi- natorial optimization problem. In the numerical example section, it is shown that the antenna geometries, designed by the proposed strategy, outperform the representative DF antenna geometries. The antenna geometry strategy for direction finding （DF） with multiple-input multiple-output （MIMO） radars is studied. One case, usually encountered is practical applications, is consi- dered. For a directional antenna geometry with a prior direction, the trace-optimal （TO） criterion （minimizing the trace） on the av- erage Cramer-Rao bound （CRB） matrix is employed. A qualitative explanation for antenna geometry is provided, which is a combi- natorial optimization problem. In the numerical example section, it is shown that the antenna geometries, designed by the proposed strategy, outperform the representative DF antenna geometries.

作者 Weidong Jiang Haowen Chen Xiang Li

机构地区 College of Electronics Science and Engineering

出处《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2015年第3期468-475,共8页 系统工程与电子技术（英文版）

基金 supported by the National Natural Science Foundation of China(61072117 61302142)

关键词 multiple-input multiple-output （MIMO） radar direction finding （DF） antenna geometry strategy Cramer-Rao bound（CRB） trace-optimal （TO） simulated annealing （SA） algorithm. multiple-input multiple-output （MIMO） radar, direction finding （DF）, antenna geometry strategy, Cramer-Rao bound（CRB）, trace-optimal （TO）, simulated annealing （SA） algorithm.

分类号 TN958 [电子电信—信号与信息处理]

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参考文献26

1H. W. Chen, X. Li, W. D. Jiang, et al. MIMO radar sensitivity analysis of antenna position for direction finding. IEEE Trans. on Signal Processing, 2012, 60(10): 5201 - 5216.
2H. W. Chen, X. Li, H. Q. Wang, et al. Performance bounds of direction finding and its applications lbr multiple-input multiple-output radar, lET Radar, Sonar & Navigation, 2014, 8(3): 251-263.
3H. W. Chen, Y. Chen. Extended ambiguity function for bistatic MIMO radar. Journal of Systems Engineering and Electronics, 2012, 23(2): 195-200.
4D. R. Fuhrmann, G. S. Antonio. Transmit beamforming for MIMO radar systems using signal cross-correlation. 1EEE Trans. on Aerospace and Electronic Systems, 2008, 44( 1 ): 71 - 186.
5J. Li, L. Xu, R Stoica, et al. Range compression and waveform optimization for MIMO radar: a Cramer-Rao bound based study. IEEE Trans. on Signal Processing, 2008, 56(1): 218- 232.
6X. H. Wu, A. A. Kishk, A. W. Glisson. MIMO-OFDM radar for direction estimation. IET Radar Sonar & Navigation, 2010, 4(1): 28-36.
7I. Bekkerman, J. Tabrikian. Target detection and localization using MIMO radars and sonars. 1EEE Trans. on Signal Pro- cessing, 2006, 54(10): 3873 - 3883.
8W. Roberts, L. Z. Xu, J. Li, et al. Sparse antenna array design for MIMO active sensing applications. IEEE Trans. on Anten- nas Propagation, 2011, 59(2): 846 - 858.
9R. Boyer. Performance bounds and angular resolution limit for the moving colocated MIMO radar. IEEE Trans. on Sig- nalProcessing, 2011, 59(4): 1539 -1552.
10H. Gazzab, S. Marcos. Cramer-Rao bounds for antenna array design. IEEE Trans. on Signal Processing, 2006, 54(1): 336- 345.