COMBINING GAUSSIAN MIXTURE ESTIMATES FROM UNCERTAIN SOURCES

被引：0
|
作者：
Sipos, Brian J. [1 ]
机构：
[1] Lockheed Martin Syst Integrat, Owego, NY 13827 USA
来源：
2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 | 2009年
关键词：
State space; Gaussian mixture; spoofing; water filling; visualization;
D O I：
10.1109/SSP.2009.5278510
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper examines the exact solution for combining multiple Gaussian mixture (GM) estimates of a state vector, methods for order-reduction of the resulting GM, estimating the likelihood of each source GM, and for classifying sources as good (in agreement) or bad (biased or false/spoofed). Together, these allow combining estimates from GM sources in a way that guarantees some false-rejection probability of good sources in the merged best-estimate and allows generating a set of ellipsoids to approximate the most-probable volume for displaying the result to a user.
引用
收藏
页码：581 / 584
页数：4
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