A neural network for robust LCMP beamforming

Signal Processing

Volumn 86, Issue 10, 2006, Pages 2901-2912

  Xia, Youshen ^a   Feng, Gang ^b  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Convergence analysis; LCMP beamforming; Quadratic constraint; Recurrent neural network

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; CONSTRAINT THEORY; ERROR ANALYSIS; PARAMETER ESTIMATION; QUADRATIC PROGRAMMING; ROBUSTNESS (CONTROL SYSTEMS); SENSORS;

CONVERGENCE ANALYSIS; LCMP BEAMFORMING; LINEARLY CONSTRAINED MINIMUM POWER (LCMP); QUADRATIC CONSTRAINTS;

RECURRENT NEURAL NETWORKS;

EID: 33745712093     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2005.12.004     Document Type: Article

References (26)

1. H.L. Van Trees, Optimum Array Processing: Detection and Estimation Theory, Class Notes: INFT 836, 1998.
2. B.D. Van Veen, K.M. Buckley, Beamforming: a versatile approach to spatial filtering, IEEE ASSP Magazine (April 1988) 4-24.
3. Godara L.C. Application of antenna arrays to mobile communications, part II: beam-forming and direction-of-arrival considerations. Proc. IEEE 85 (1997) 1195-1215
4. Frost O.L. An algorithm for linear constrained adaptive array processing. Proc. IEEE 60 (1972) 926-935
5. Reed I.S., Mallett J.D., and Brennan L.E. Rapid convergence rate in adaptive arrays. IEEE Trans. Aerospace Electronic Systems AES-10 (1974) 853-863
6. Haykin S. Adaptive Filter Theory (1996), Prentice-Hall, Upper Saddle River, NJ
7. Chen Y.H., and Chiang C.T. A adaptive beamforming using the constrained Kalman filter. IEEE Trans. Antennas Propagation 41 (1993) 1576-1580
8. Tian Z., Bell K.L., and Van Trees H.L. A recursive least squares implementation for LCMP beamforming under quadratic constraint. IEEE Trans. Signal Process. 49 (2001) 1138-1145
9. Cox H., Zeskind R., and Owen M. Robust adaptive beamforming. IEEE Trans. Signal Process. 35 (1987) 1365-1376
10. Du K.L., Lai A.K.Y., Cheng K.K.M., and Swamy M.N.S. Neural methods for antenna array signal processing: a review. Signal Processing 82 (2002) 547-561
11. Kennedy M.P., and Chua L.O. Neural networks for nonlinear programming. IEEE Trans. Circuits Systems 35 5 (1988) 554-562
12. Cichocki A., and Unbehauen R. Neural Networks for Optimization and Signal Processing (1993), Wiley, England
13. Xia Y.S., Feng G., and Wang J. A primal-dual neural network for on-line resolving constrained kinematic redundancy in robot motion control. IEEE Trans. Systems Man Cybernet. 35 1 (2005) 54-64
14. Xia Y.S., and Feng G. On convergence condition of an extended projection neural network for constrained optimization. Neural Computation 17 (2005) 515-525
15. Sakai H., and Shimizu K. A new adaptive algorithm for minor component analysis. Signal Processing 71 (1998) 301-308
16. Wang A.K., and Ren W. Convergence analysis of the filtered-U algorithm for active noise control. Signal Processing 73 (1999) 255-266
17. Chang P.R., Yang W.H., and Chan K.K. A neural network approach to MVDR beamforming problem. IEEE Trans. Antennas Propagation 40 (March 1992) 313-322
18. A. Perez-Neira, M.A. Lagunas, Multiuser array beamforming based on a neural network mapping, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. iv, April 1994, pp. 19-22.
19. Yang W.H., and Chang P.R. Programmable switched-capacitor neural network for MVDR beamforming. IEEE J. Oceanic Eng. 21 (1996) 77-84
20. He Z.Y., and Chen Y. Robust blind beamforming using neural network. IEE Proc. Radar Sonar Navigation 147 (2000) 41-46
21. Zooghby A.H.El., Christodoulou C.G., and Georgiopoulos M. Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays. IEEE Trans. Antennas Propagation 46 (1998) 1891-1893
22. Li W., Huang X., and Leung H. Performance evaluation of digital beamforming strategies for satellite communications. IEEE Trans. Aerospace Electronic Systems 40 (2004) 12-26
23. Xia Y.S., and Feng G. An improved neural network for convex quadratic optimization with application to real-time beamforming. Neurocomputing 64 (2005) 359-374
24. Fiori S. Neural minor component analysis approach to robust constrained beamforming. IEE Proc. Vision Image Signal Process. 150 (August 2003) 205-218
25. Lo K.W., Chang P.R., Yang W.H., and Chan K.K. Comments on a "A neural network approach to MVDR beamforming problem". IEEE Trans. Antennas Propagation 41 9 (September 1993) 1344-1346
26. Bertsekas D.P. Parallel and Distributed Computation: Numerical Methods (1989), Prentice-Hall, Englewood Cliffs, NJ