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We consider the problem of direction finding using partly calibrated arrays,a distributed subarray with position errors between subarrays. The keychallenge is to enhance angular resolution in the presence of position errors.To achieve this goal, existing algorithms, such as subspace separation andsparse recovery, have to rely on multiple snapshots, which increases the burdenof data transmission and the processing delay. Therefore, we aim to enhanceangular resolution using only a single snapshot. To this end, we exploit theorthogonality of the signals of partly calibrated arrays. Particularly, wetransform the signal model into a special multiple-measurement model, show thatthere is approximate orthogonality between the source signals in this model,and then use blind source separation to exploit the orthogonality. Simulationand experiment results both verify that our proposed algorithm achieves highangular resolution as distributed arrays without position errors, inverselyproportional to the whole array aperture.

Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture