1 research outputs found
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture
We consider the problem of direction finding using partly calibrated arrays,
a distributed subarray with position errors between subarrays. The key
challenge is to enhance angular resolution in the presence of position errors.
To achieve this goal, existing algorithms, such as subspace separation and
sparse recovery, have to rely on multiple snapshots, which increases the burden
of data transmission and the processing delay. Therefore, we aim to enhance
angular resolution using only a single snapshot. To this end, we exploit the
orthogonality of the signals of partly calibrated arrays. Particularly, we
transform the signal model into a special multiple-measurement model, show that
there is approximate orthogonality between the source signals in this model,
and then use blind source separation to exploit the orthogonality. Simulation
and experiment results both verify that our proposed algorithm achieves high
angular resolution as distributed arrays without position errors, inversely
proportional to the whole array aperture