In this paper, two novel channel parameter estimation
algorithms are proposed under the “wideband assumption,”
where a wavefront varies significantly when traversing through
the sensors of the array. The first covariance-based approach
utilizes the cross-covariance matrix between two subvectors of the
received signal vector and the singular value decomposition to reconstruct
the parameter-dependent signal subspace. Meanwhile,
the second reference-based approach employs the rotation of the
array reference point so that the estimation techniques under
the “narrowband assumption” are readily applicable. Through
computer simulation studies, the two proposed approaches are
shown to successfully estimate the channel parameters under the
wideband assumption with outstanding accuracy in terms of the
estimation root mean squared error