Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IET International Radar Conference 2009 |
| Edition | 551 CP |
| DOIs | |
| Publication status | Published - 2009 |
| Event | IET International Radar Conference 2009 - Guilin, China Duration: 20 Apr 2009 → 22 Apr 2009 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | 551 CP |
Conference
| Conference | IET International Radar Conference 2009 |
|---|---|
| Country/Territory | China |
| City | Guilin |
| Period | 20/04/09 → 22/04/09 |
Keywords
- Eigenvalue decomposition (EVD)
- Minimum description length (MDL)
- Sensor array processing
- Source number estimation
Fingerprint
Dive into the research topics of 'Robust estimation of the number of sources using an MMSE-based MDL method'. Together they form a unique fingerprint.Cite this
Long, T., Huang, L., & Mao, E. (2009). Robust estimation of the number of sources using an MMSE-based MDL method. In IET International Radar Conference 2009 (551 CP ed.). (IET Conference Publications; No. 551 CP). https://doi.org/10.1049/cp.2009.0262