Human motion detection and estimation by using Millimeter-wave motion sensing MIMO radar

2019 Fiscal Year Final Research Report

• Project/Area Number: 17H03261
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Communication/Network engineering
• Research Institution: Niigata University
• Principal Investigator: Yamada Hiroyoshi 新潟大学, 自然科学系, 教授 (20251788)
• Co-Investigator(Kenkyū-buntansha): 村松 正吾 新潟大学, 自然科学系, 教授 (30295472)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Keywords: MIMOレーダ / モーションセンシング / 仮想アレー / ドップラ周波数推定 / ミリ波レーダ

Outline of Final Research Achievements

Main objective in this research is a development high resolution MIMO for human motion observation radar and performance improvement for target recognition. To realize this objective, we have developed a new virtual array technique for the MIMO radar by using minimum redundancy arrays both in transmitting and receiving array. This technique is effective for incoherent scattered radar echoes such as reflected signals by diversely motions of persons. Validity of this technique have demonstrated by indoor human detection experiments. In addition, a new Doppler frequency estimation algorithm has proposed here. It can extend the maximum observable Doppler frequency, which enable us easy to apply MIMO radars to many applications. Furthermore target recognition by using Doppler-spread has considered. It is one of the promising parameters for target recognition and motion classification. Experimental results of this algorithm as well as CNN have provided in this research.

Free Research Field

アンテナ・電波伝搬工学

Academic Significance and Societal Importance of the Research Achievements

本研究では，MIMOレーダと呼ばれる少ない送受信アンテナ数で，より大規模なレーダ同等の性能を実現する信号処理処理法を，ある条件を満たす不等間隔アレーを用い，かつ人物のように動きのあるターゲットの検出を目的とした場合，飛躍的に向上できることを明らかにし
，実験によりその有効性を実証した．また，ターゲットの速度推定範囲を広げる信号処理法を考案し，提案レーダ方式の適用範囲を広げた．またターゲットのドップラ周波数の時空間分布を用いた動作や識別性能の向上が可能となることを，屋内人物動作実験（座る，立つ，転ぶなど）や交差点での歩行者，自転車，自動車の識別実験を通して実証した．