TY - GEN
T1 - Robust estimation of the number of sources using an MMSE-based MDL method
AU - Long, Teng
AU - Huang, Lei
AU - Mao, Erke
PY - 2009
Y1 - 2009
N2 - In this paper, using the mutual information, we bridge the probability density function and the minimum mean-square error (MMSE) between the observed data and the desired signal, and then employ the MMSE to construct an MMSE-based MDL criterion for accurate source enumeration. The presented numerical results demonstrate that the proposed method is superior to the existing MDL methods in detection performance.
AB - In this paper, using the mutual information, we bridge the probability density function and the minimum mean-square error (MMSE) between the observed data and the desired signal, and then employ the MMSE to construct an MMSE-based MDL criterion for accurate source enumeration. The presented numerical results demonstrate that the proposed method is superior to the existing MDL methods in detection performance.
KW - Eigenvalue decomposition (EVD)
KW - Minimum description length (MDL)
KW - Sensor array processing
KW - Source number estimation
UR - http://www.scopus.com/inward/record.url?scp=70350148375&partnerID=8YFLogxK
U2 - 10.1049/cp.2009.0262
DO - 10.1049/cp.2009.0262
M3 - Conference contribution
AN - SCOPUS:70350148375
SN - 9781849190107
T3 - IET Conference Publications
BT - IET International Radar Conference 2009
T2 - IET International Radar Conference 2009
Y2 - 20 April 2009 through 22 April 2009
ER -