A general algorithm for the linear and quadratic gradients of physical
quantities based on 10 or more point measurements
Abstract
In this study, a novel algorithm for jointly estimating the linear and
quadratic gradients of physical quantities with multiple spacecraft
observations based on the least square method has been put forward for
the first time. With 10 or more spacecraft constellation measurements as
the input, this new algorithm can yield both the linear and quadratic
gradients at the barycenter of the constellation. Iterations have been
used in the algorithm. The tests on cylindrical flux ropes, dipole
magnetic field and modeled geo-magnetospheric field have been carried
out. The tests indicate that the linear gradient gained has the second
order accuracy, while the quadratic gradient is of the first order
accuracy. The test on the modeled geo-magnetospheric field shows that,
the more the number of the spacecraft in the constellation, the high the
accuracy of the quadratic gradient calculated. However, the accuracy of
the linear gradient yielded is independent of the number of the
spacecraft. The feasibility, reliability and accuracy of this algorithm
have been verified successfully. This algorithm can find wide
applications in the design of the future multiple S/C missions as well
as in the analysis of multiple point measurement data.