DATA INTERPOLATION PROCESSING METHOD, DATA INTERPOLATION PROCESSING APPARATUS, PROGRAM, LEARNING PROCESSING DEVICE AND PREDICTION PROCESSING DEVICE

To provide a wireless state prediction device capable of acquiring data obtained by appropriately interpolating observation data even under a situation where the observation data is acquired as intermittent data and by using the data, highly accurately and appropriately performing learning processing of a model predicting a future communication quality state.SOLUTION: In a case where observation data is intermittently acquired, a wireless state prediction device 100 is configured to, no matter where a missing part of the observation data is, when data interpolation processing is performed for the same waveform pattern, perform the data interpolation processing so as to acquire substantially the same waveform pattern, In other words, the wireless state prediction device 100 generates Hankel matrix R from the observation data, using the Hankel matrix R to acquire an optimization matrix R_opt acquired by performing optimization processing and performs the data interpolation processing based on the optimization matrix R_opt.SELECTED DRAWING: Figure 1 【課題】観測データが間欠的なデータとして取得される状況下においても、観測データを適切に補間したデータを取得し、当該データを用いて、将来の通信品質状況を予測するモデルの学習処理を高精度かつ適切に行うことができる無線状況予測装置を実現する。【解決手段】無線状況予測装置１００では、観測データが間欠的に取得される場合において、観測データの欠落部分がどこであっても、同一波形パターンに対してデータ補間処理を行った場合に、略同一の波形パターンが取得されるようにデータ補間処理を行う。つまり、無線状況予測装置１００では、観測データからハンケル行列Ｒを生成し、当該ハンケル行列Ｒを用いて、最適化処理を行い取得された最適化行列Ｒ＿ｏｐｔを取得し、当該最適化行列Ｒ＿ｏｐｔに基づいて、データ補間処理を行う。【選択図】図１