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自动化学报 2007
Error Transfer and Correction between Multi-target Measurements in a Common Clutter Environment
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Abstract:
How to improve the precision of estimation is an important problem in target tracking. Conventional method intends to reduce the random errors by filtering or fusing using measurements from target itself. A new idea based on error transfer and correction is presented here. According to the theory of error correlation, the conception, principle and technique of the method of error transfer and correction between multitarget measurements have been investigated. All algorithms of the key steps about this method have been built. Simulation results show that the measurement error can be transferred and corrected if there is error correlation between multi-target measurements, and the precision of corrected measurement can be improved greatly when the correlation is high.