Constant Envelope Robust Waveform Design for MIMO Radar for Parameter Estimation

被引:0
作者
Sun, Congyi [1 ]
Cui, Chen [1 ]
Gong, Yang [1 ]
机构
[1] EEI, Hefei, Anhui, Peoples R China
来源
2017 IEEE 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN) | 2017年
关键词
MIMO radar; robust waveform design; constant-envelope waveform design; convex optimization; mutual information; INFORMATION-THEORY;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In MIMO radar, due to the inaccuracy of the prior information, the waveform designed according to the prior information can not meet the need of parameter estimation. A method of constant envelope robust waveform design for MIMO radar based on maximum mutual information (MI) criterion is proposed for this problem. Firstly, under the condition that the estimation errors of power spectral density of the target impulse response (TIR) and that of noise are both bounded, an optimization model is constructed, which treats maximizing the MI of target with the corresponding received echo as the objective function, and treats the emission energy as the constraint condition. Finally, Gaussian randomization method is used to obtain the desired constant envelope robust waveform according to the obtained power spectral density, which improves the parameter estimation performance of the MIMO radar system in the worst case. The simulation results show the effectiveness of the proposed method.
引用
收藏
页码:762 / 766
页数:5
相关论文
共 11 条
[1]   MIMO Radar Transmit Beampattern Design Without Synthesising the Covariance Matrix [J].
Ahmed, Sajid ;
Alouini, Mohamed-Slim .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (09) :2278-2289
[2]  
[Anonymous], 1979, Inequalities: Theory of majorization and its applications
[3]   INFORMATION-THEORY AND RADAR WAVE-FORM DESIGN [J].
BELL, MR .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1993, 39 (05) :1578-1597
[4]  
[陈浩文 Chen Haowen], 2012, [电子学报, Acta Electronica Sinica], V40, P1190
[5]  
Gong Xuhua, 2014, MODERN RADAR, V36, P330
[6]   Range compression and waveform optimization for MIMO radar: a Cramer-Rao bound based study [J].
Li, Jian ;
Xu, Luzhou ;
Stoica, Petre ;
Forsythe, Keith W. ;
Bliss, Daniel W. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (01) :218-232
[7]  
Tang B, 2016, INT CONF ACOUST SPEE, P3096, DOI 10.1109/ICASSP.2016.7472247
[8]   MIMO Radar Waveform Design in Colored Noise Based on Information Theory [J].
Tang, Bo ;
Tang, Jun ;
Peng, Yingning .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (09) :4684-4697
[9]  
Wang H., 2014, UNSUPERVISED LEARNIN, P1
[10]   MIMO radar waveform design based on mutual information and minimum mean-square error estimation [J].
Yang, Yang ;
Blum, Rick S. .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (01) :330-343