Title :
A moving target detector based on information fusion
Author :
Chao, J. ; Cheng, C. ; Su, C.
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
Moving target detector (MTD) related multiple-hypothesis testing is considered, and the Dempster-Shafer theory is applied to this problem. Feature parameters are extracted from radar signals, and the value of each feature parameter is interpreted in terms of Dempster-Shafer´s belief or disbelief for the associated hypotheses. Using Dempster´s combining rule, a generalized likelihood ratio test is derived
Keywords :
information theory; radar theory; signal detection; Dempster-Shafer theory; information fusion; likelihood ratio test; moving target detector; multiple-hypothesis testing; radar signals; Data mining; Detectors; Doppler radar; Feature extraction; Frequency; Oceans; Polarization; Radar clutter; Radar detection; Testing;
Conference_Titel :
Radar Conference, 1990., Record of the IEEE 1990 International
Conference_Location :
Arlington, VA
DOI :
10.1109/RADAR.1990.201189
