Estimation with Multisensor Fusion
Final rept. 1 Jan 2003-28 Feb 2006
CONNECTICUT UNIV STORRS
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Our work dealt with the development of practical advanced algorithms for optimal processing of the information obtained from various remote sensing devices radar, ESM or electro-optical for surveillance and tracking targets. The processing consists of integrationfiltering of the sensor data across time and fusion across sensors with the main goal being overcoming the inherent limitations of real-world sensors accuracy and reliability due to noise which cause false alarms - and other factors, such as low observable LO targets - which lead to low detection probability.
- Statistics and Probability
- Target Direction, Range and Position Finding
- Active and Passive Radar Detection and Equipment