TY - JOUR
T1 - A time-space domain information fusion method for specific emitter identification based on dempster–shafer evidence theory
AU - Jiang, Wen
AU - Cao, Ying
AU - Yang, Lin
AU - He, Zichang
N1 - Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2017/9
Y1 - 2017/9
N2 - Specific emitter identification plays an important role in contemporary military affairs. However, most of the existing specific emitter identification methods haven’t taken into account the processing of uncertain information. Therefore, this paper proposes a time–space domain information fusion method based on Dempster-Shafer evidence theory, which has the ability to deal with uncertain information in the process of specific emitter identification. In this paper, radars will generate a group of evidence respectively based on the information they obtained, and our main task is to fuse the multiple groups of evidence to get a reasonable result. Within the framework of recursive centralized fusion model, the proposed method incorporates a correlation coefficient, which measures the relevance between evidence and a quantum mechanical approach, which is based on the parameters of radar itself. The simulation results of an illustrative example demonstrate that the proposed method can effectively deal with uncertain information and get a reasonable recognition result.
AB - Specific emitter identification plays an important role in contemporary military affairs. However, most of the existing specific emitter identification methods haven’t taken into account the processing of uncertain information. Therefore, this paper proposes a time–space domain information fusion method based on Dempster-Shafer evidence theory, which has the ability to deal with uncertain information in the process of specific emitter identification. In this paper, radars will generate a group of evidence respectively based on the information they obtained, and our main task is to fuse the multiple groups of evidence to get a reasonable result. Within the framework of recursive centralized fusion model, the proposed method incorporates a correlation coefficient, which measures the relevance between evidence and a quantum mechanical approach, which is based on the parameters of radar itself. The simulation results of an illustrative example demonstrate that the proposed method can effectively deal with uncertain information and get a reasonable recognition result.
KW - Correlation coefficient
KW - Dempster-Shafer evidence theory
KW - Quantum mechanical approach
KW - Recursive centralized model
KW - Specific emitter identification
KW - Time-space domain information fusion
UR - http://www.scopus.com/inward/record.url?scp=85028732642&partnerID=8YFLogxK
U2 - 10.3390/s17091972
DO - 10.3390/s17091972
M3 - 文章
C2 - 28846629
AN - SCOPUS:85028732642
SN - 1424-8220
VL - 17
JO - Sensors
JF - Sensors
IS - 9
M1 - 1972
ER -