ESTIMATION DEVICE AND CONTROL METHOD THEREOF, DATA SHAPING DEVICE AND CONTROL METHOD THEREOF, AND PROGRAM

• Main Author: NAGAO TATSUYA
• Format: Patent
• Language: English; Japanese
• Published: 09.04.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; PHYSICS; TRANSMISSION

To provide an estimation device that efficiently performs radio wave propagation estimation using a neural network.SOLUTION: An estimation device that estimates radio wave propagation characteristics includes: acquisition means that acquires first information on a ground surface and a building and second information on positions of a radio wave transmission point and a reception point; range determination means that determines a geographical range of the first information and the second information acquired by the acquisition means; series data generation means that generates, on the basis of the first information and the second information in the geographical range, M pieces of series data along each of M pieces of geographical routes set in the geographical range; derivation means that respectively inputs the M pieces of series data into pre-trained RNN encoders and derives M pieces of feature vectors corresponding to the M pieces of series data; generation means that generates a feature map by combining the M pieces of feature vectors; and estimation means that inputs the feature map into a pre-trained DNN and estimates the radio wave propagation characteristics.SELECTED DRAWING: Figure 3 【課題】ニューラルネットワークを用いた電波伝搬推定を効率的に行う。【解決手段】電波伝搬特性を推定する推定装置は、地表および建物に関する第１情報および電波の送信点および受信点の位置に関する第２情報を取得する取得手段と、取得手段が取得する第１情報及び第２情報の地理的範囲を決定する範囲決定手段と、地理的範囲における第１情報及び第２情報に基づいて、地理的範囲において設定されるＭ個の地理的経路それぞれに沿ったＭ個の系列データを生成する系列データ生成手段と、Ｍ個の系列データを予め学習されたＲＮＮエンコーダにそれぞれ入力しＭ個の系列データに対応するＭ個の特徴ベクトルを導出する導出手段と、Ｍ個の特徴ベクトルを結合することにより特徴マップを生成する生成手段と、特徴マップを予め学習されたＤＮＮに入力し、電波伝搬特性を推定する推定手段と、を有する。【選択図】図３