Research on the Gerschgorin Radii Estimator Based on Real-Valued Decomposition Technique in Picosatellites

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In order to reduce the computational burden, real-valued decomposition technique is applied in picosat positioning. Through converting the correlation matrix to real-valued matrix, the real-valued decomposition technique not only reduces the computer burden of matrix decomposition, but also makes the correlation matrix more close to Toeplitz matrix through a forward-backward smoothing. Simulations confirm that the real-valued Gerschgorin Radii shows an improved performance.

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600-604

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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