MIMO-OFDM radar for direction estimation

被引:62
作者
Wu, X. H. [1 ]
Kishk, A. A. [1 ]
Glisson, A. W. [1 ]
机构
[1] Univ Mississippi, Dept Elect Engn, University, MS 38677 USA
关键词
WAVE-FORM DESIGN;
D O I
10.1049/iet-rsn.2008.0152
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multiple-input-multiple-output (MIMO) radar makes use of orthogonal signals to obtain the phase delay for each transmitting/receiving antenna pair, and thus increasing the accuracy of direction estimation. The previously proposed MIMO radar assumes narrowband signals that guarantee the waveform orthogonality during the signals' transmission, propagation and reception. However, a narrowband system is unstable in target localisation because of the fluctuation of the target's radar cross section. An MIMO-OFDM radar is proposed for target localisation. It adopts the OFDM technique to simultaneously transmit and receive a set of multiple narrowband orthogonal signals at orthogonal frequencies. A practical model accommodating a physical target is presented to simulate the MIMO-OFDM radar. As an example, a composite target composed of five infinite dielectric cylinders is localised by a four-element uniform linear array. The performance of the MIMO-OFDM radar is investigated by examining the estimation error for different numbers of sub-bands, different signal-to-noise ratios and different target directions. It is demonstrated by simulation that the MIMO-OFDM radar gives more statistically stable estimation by spreading the signal power over a wider spectrum.
引用
收藏
页码:28 / 36
页数:9
相关论文
共 15 条
[1]   MIMO Radar Ambiguity Functions [J].
Antonio, Geoffrey San ;
Fuhrmann, Daniel R. ;
Robey, Frank C. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2007, 1 (01) :167-177
[2]   Target detection and localization using. MIMO radars and sonars [J].
Bekkerman, Ilya ;
Tabrikian, Joseph .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) :3873-3883
[3]   HIGH-RESOLUTION FREQUENCY-WAVENUMBER SPECTRUM ANALYSIS [J].
CAPON, J .
PROCEEDINGS OF THE IEEE, 1969, 57 (08) :1408-&
[4]   MIMO radar space-time adaptive processing using prolate spheroidal wave functions [J].
Chun-Yang Chen ;
Vaidyanathan, P. P. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (02) :623-635
[5]   MODELING OF CYLINDRICAL OBJECTS BY CIRCULAR DIELECTRIC AND CONDUCTING CYLINDERS [J].
ELSHERBENI, AZ ;
KISHK, AA .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1992, 40 (01) :96-99
[6]   Spatial diversity in radars-models and detection performance [J].
Fishler, E ;
Haimovich, A ;
Blum, RS ;
Cimini, LJ ;
Chizhik, D ;
Valenzuela, RA .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (03) :823-838
[7]   On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas [J].
Foschini G.J. ;
Gans M.J. .
Wireless Personal Communications, 1998, 6 (3) :311-335
[8]  
Foschini G. J., 1996, Bell Labs Technical Journal, V1, P41, DOI 10.1002/bltj.2015
[9]   Waveform design for MIMO radars [J].
Friedlander, Benjamin .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (03) :1227-1238
[10]   Application of antenna arrays to mobile communications .2. Beam-forming and direction-of-arrival considerations [J].
Godara, LC .
PROCEEDINGS OF THE IEEE, 1997, 85 (08) :1195-1245