Research on the Gerschgorin Radii Estimator Based on Real-Valued Decomposition Technique in Picosatellites
Jie Tang, Mao Jun Fan, Jun Peng Hu · Applied Mechanics and Materials · 2014
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.