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In this paper, a method of the signal subspace interpolation to constructing a continuous fingerprint database for radio localization is proposed. When using the fingerprint technique, enhancing the accuracy of location estimation requires very fine spatial resolution of the database, which entails much time in collecting the data to build up the database. Interpolated signal subspace is presented to achieve a fine spatial resolution of the fingerprint database. The angle of arrival (AOA) and the measured signal subspace at known locations are needed to obtain the interpolated signal subspaces. The effectiveness of this method is verified by an outdoor experiment and the estimated location using this method was compared with those using the geometrically calculated fingerprint and the measured signal subspace fingerprint techniques.

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The fundamental performances of a radio source localization system were evaluated using the spatial information of the received signals by array antenna in outdoor experiments. We used the angle-of-arrival-based and newly proposed methods to estimate the location of a terminal. The proposed method of localization is based on the fingerprinting technique and uses the signal subspaces of the received signal by using an array antenna as the feature quantity. We confirmed that the proposed method successfully estimates the location of a terminal through the outdoor experiments, whereas conventional methods, such as angle-of-arrival-based method, fail to accurately estimate the locations of sources under non line-of-sight conditions.