Application of antenna arrays to mobile communications .2. Beam-forming and direction-of-arrival considerations

被引:1218
作者
Godara, LC
机构
[1] University College, University of New South Wales, Australian Defence Force Academy, School of Electrical Engineering, Canberra ACT
关键词
beam forming; conjugate gradient method; eigenstructure methods; ESPRIT; least square algorithm; linear prediction method; maximum entropy; maximum likelihood method; minimum norm; mobile communications; multipath arrivals; MU-SIC; MVDR estimator; neural networks; recursive least square algorithm; weighted subspace fitting;
D O I
10.1109/5.622504
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
Array processing involves manipulation of signals induced on various antenna elements. Its capabilities of steering nulls to reduce cochannel interferences and pointing independent beams toward various mobiles, as well as its ability to provide estimates of directions of radiating sources, make it attractive to a mobile communications system designer. Array processing is expected to play an important role in fulfilling the increased demands of various mobile communications services. Part I of this paper showed how an array could be utilized in different configurations to improve the performance of mobile communications systems, with references to various studies where feasibility of an array system for mobile communications is considered. This paper provides a comprehensive and detailed treatment of different beam-forming schemes, adaptive algorithms tl? adjust the required weighting on antennas, direction-of-arrival estimation methods-including their performance comparison-and effects of errors on the performance of an array system, as well as schemes to alleviate them. This paper brings together almost all aspects of array signal processing. It is presented at a level appropriate to nonexperts in the field and contains a large reference list to probe further.
引用
收藏
页码:1195 / 1245
页数:51
相关论文
共 546 条
[51]   APPLICATION OF ORTHOGONAL PERTURBATION SEQUENCES TO ADAPTIVE BEAMFORMING [J].
CANTONI, A .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1980, 28 (02) :191-202
[52]   RESOLVING THE DIRECTIONS OF SOURCES IN A CORRELATED FIELD INCIDENT ON AN ARRAY [J].
CANTONI, A ;
GODARA, LC .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1980, 67 (04) :1247-1255
[53]   FAST ALGORITHMS FOR TIME DOMAIN BROAD-BAND ADAPTIVE ARRAY-PROCESSING [J].
CANTONI, A ;
GODARA, LC .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1982, 18 (05) :682-699
[54]   HIGH-RESOLUTION FREQUENCY-WAVENUMBER SPECTRUM ANALYSIS [J].
CAPON, J .
PROCEEDINGS OF THE IEEE, 1969, 57 (08) :1408-&
[55]   PROBABILITY DISTRIBUTIONS FOR ESTIMATORS OF FREQUENCY WAVENUMBER SPECTRUM [J].
CAPON, J ;
GOODMAN, NR .
PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1970, 58 (10) :1785-&
[56]   A ROUNDOFF ERROR ANALYSIS OF THE LMS ADAPTIVE ALGORITHM [J].
CARAISCOS, C ;
LIU, B .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1984, 32 (01) :34-41
[57]   COHERENCE AND TIME-DELAY ESTIMATION [J].
CARTER, GC .
PROCEEDINGS OF THE IEEE, 1987, 75 (02) :236-255
[58]   A NEURAL NETWORK APPROACH TO MVDR BEAMFORMING PROBLEM [J].
CHANG, PR ;
YANG, WH ;
CHAN, KK .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1992, 40 (03) :313-322
[59]   POSTSMOOTHING FOR THE LMS ALGORITHM AND A FIXED-POINT ROUNDOFF ERROR ANALYSIS [J].
CHANG, YH ;
TZOU, CK ;
BERSHAD, NJ .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1991, 39 (04) :959-962
[60]   PARTIAL ADAPTIVITY FOR LARGE ARRAY [J].
CHAPMAN, DJ .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1976, 24 (05) :685-696