Title :
Notice of Retraction
An automatic interference recognition method in DSSS communication system based on SVM
Author :
Yu Bo ; Shao Gao-ping ; Sun Hong-sheng
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
An algorithm to automatically recognize interferences is proposed to solve the problem that we can´t take the right interference suppression method to improve the performance of direct sequence spread spectrum (DSSS) communication system because of the unknown interference types. First, the mathematical models of 8 types of important interferences in DSSS system are described; Then, the features of interferences from time domain, frequency domain and time-frequency domain are extracted; And finally, a five-order automatic interference recognizer based on decision tree support vector machine is constructed, and the automatic recognition of the interferences is realized. Simulation results demonstrate that the proposed algorithm provides a very high recognition rate when ISR is not lower than 9dB.
Keywords :
decision trees; interference suppression; radiofrequency interference; spread spectrum communication; support vector machines; telecommunication computing; time-frequency analysis; DSSS communication system; SVM; automatic interference recognition method; decision tree support vector machine; direct sequence spread spectrum communication system; five-order automatic interference recognizer; interference suppression method; mathematical models; time-frequency domain; Bandwidth; Binary phase shift keying; Feature extraction; Frequency modulation; Information science; Interference suppression; Narrowband; Spread spectrum communication; Support vector machines; Time frequency analysis; DSSS; broadband interference; feature extraction; recognition time-frequency analysis; support vector machine;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485741
