A New Source Number Detection Algorithm Based on Fuzzy Clustering

Schmidt R O. A signal subspace approach to multiple emitterlocation and spectrum estimation. [Ph.D. dissertation], Stanford Univ., Stanford, CA, 1981.[2]Wax M, Kailath T. Detection of signals by information theoretic criteria[J].IEEE Trans. on Acoustics, Speech, and Signal Processing.1985, 33(4):387-[3]Chen W, Wong K M, Reilly J P. Detection of the number ofsignals: A predicted eigen-threshold approach[J].IEEE Trans. on Signal Processing.1991, 39(5):1088-[4]Wu H T, Yang J F, Chen F K. Source number estimation using transformed Gershgorin radii[J].IEEE Trans. on Signal Processing.1995, 43(6):1325-[5]Aouada S, Zoubir A M, See C M S. Source detection in the presence of nonuniform noise. in Proc. ICASSP-2004, Montreal, Quebec, Canada, May 2004: II-165-II-168.[6]Chen W, Reilly JP, Wong K M. Detection of the number of signals in noise with banded covariance matrix. IEE Proc.-Radar. Sonar Navig., 1996, 143(10): 284.294.[7]Zhang Q T, Wang K M. Information theoretic criteria for the determination of the number of signals in spatially correlated noise. IEEE Trans. on Signal Processing, 1993, 41(8): 1651.1663.[8]Wu Y, Tam K W. On determination of the number of signals in spatially correlated noise[J].IEEE Trans. on Signal Processing.1998, 46(11):3023-[9]Wu Y, Tam K W, Li F. Determination of number of sources with multiple arrays in correlated noise fields[J].IEEE Trans. on SignalProcessing.2002, 50(6):1257-[10]Sheng C, Bernard M, Peter M G. A clustering technique for digital communications channel equalization using radial basis function networks[J].IEEE Trans. on Neural Networks.1993, 4(4):570-[11]Bezdek J C, Fordon W A. The Application of Fuzzy Set Theory to the Medical Diagnosis. In Advances of Fuzzy Sets and Theories, North-Holland, Amsterdam, 1979: 445.461.[12]Karayiannis N B, Mi G W. Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques. IEEE Trans. on NN, 1997, 8(6): 1492.1506.[13]Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithm. New York: Plenum Press, 1981: 43.93.