RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION

Lu Tiejun; Wang He; Xiao Xianci

Volume 23 Issue 11

Nov. 2001

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Lu Tiejun, Wang He, Xiao Xianci . RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1129-1133.

Citation:

Lu Tiejun, Wang He, Xiao Xianci . RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1129-1133.

Lu Tiejun, Wang He, Xiao Xianci . RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1129-1133.

Citation:

Lu Tiejun, Wang He, Xiao Xianci . RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1129-1133.

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RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION

Received Date: 1999-11-30
Rev Recd Date: 2000-07-13
Publish Date: 2001-11-19

Abstract

Abstract

In this paper, several methods of evidence assignment and combination of optimum interval with Dempster-Shafer theory are proposed to identify communication signals. Under low SNR circumstance, the identifiability is highly promoted. Moreover, the design of classifier is simplified. The availabilities of these methods are verified by computer simulation.

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References(1)

References

A.K. Nand, E. E. Azzouz, Algorithms for automatic modulation recognition of communicationsignals, IEEE Trans. on Comm., 1998, 46(4), 434-436.[2]E.J. Mandler, J. Schurmann, Combining the classification result of independent classifiers basedon the Dempster/Shafer theory of evidence, Pattern Recognition and Artificial Intelligence, North-Holland, Elsevier Science Publishers B. V., 1988, 381-393.[3]S.C.A. Thomopoulos, Theories in distributed decision fusion: comparison and generalization,Sensor fusion III:3-D perception and recognition, SPIE, 1383, 1990, 623-634.[4]S.C.A. Thomopoulos, Sensor integration and data fusion, Journal of Robotic Systems, 1990,7(3), 337-372.[5]S. Haykin, Neural Networks, A Comprehensive Foundation, New York, MacMillan, 1994, Ch.6. ［6］通信信号特征分析研究,研究报告,成都,电子科技大学,1998.

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